com.sas.cas.actions.regression

Class GenmodOutputStatement

java.lang.Object

com.sas.cas.CASActionOptions

com.sas.cas.CASGeneratedActionOptions

com.sas.cas.actions.regression.GenmodOutputStatement

All Implemented Interfaces:

KeyedMap<java.lang.String,java.lang.Object>, java.io.Serializable, java.util.Map<java.lang.String,java.lang.Object>

public class GenmodOutputStatement
extends CASGeneratedActionOptions

Options for genmod: Fits generalized linear regression models.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GenmodOutputStatement.COPYVARS

Nested classes/interfaces inherited from class com.sas.cas.CASActionOptions

CASActionOptions.EnumValue, CASActionOptions.FORMAT

Nested classes/interfaces inherited from interface java.util.Map

java.util.Map.Entry<K,V>

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	KEY_ALPHA
static java.lang.String	KEY_CASOUT
static java.lang.String	KEY_CBAR
static java.lang.String	KEY_COPYVARS
static java.lang.String	KEY_DIFCHISQ
static java.lang.String	KEY_DIFDEV
static java.lang.String	KEY_H
static java.lang.String	KEY_IPRED
static java.lang.String	KEY_LCL
static java.lang.String	KEY_LCLM
static java.lang.String	KEY_LEVEL
static java.lang.String	KEY_OBSCAT
static java.lang.String	KEY_PRED
static java.lang.String	KEY_PREDPROBS
static java.lang.String	KEY_RESCHI
static java.lang.String	KEY_RESDEV
static java.lang.String	KEY_RESLIK
static java.lang.String	KEY_RESRAW
static java.lang.String	KEY_RESWORK
static java.lang.String	KEY_ROLE
static java.lang.String	KEY_STDRESCHI
static java.lang.String	KEY_STDRESDEV
static java.lang.String	KEY_STDXBETA
static java.lang.String	KEY_UCL
static java.lang.String	KEY_UCLM
static java.lang.String	KEY_XBETA

Fields inherited from class com.sas.cas.CASActionOptions

FLAGS_EXPAND_ARRAYS, FLAGS_IGNORE_DISPOSITION_ERROR, FLAGS_RETURN_RESULTS_ON_EXCEPTION, FLAGS_SKIP_ACTION_EVENTS, FLAGS_SKIP_RESULTS, HIDDEN_PASSWORD, JSON_NULL, LUA_NIL, PARAMETER_FLAG_ISPASSWORD, PARAMETER_FLAG_ISPATH, PARAMETER_FLAG_ISTABLENAME, PARAMETER_FLAG_ISVAR, PARAMETER_FLAG_REQUIRED, PYTHON_NULL, SERIALIZED_PREFIX

Constructor Summary

Constructors

Constructor and Description
GenmodOutputStatement()
GenmodOutputStatement(CASActionOptions options)

Method Summary

Modifier and Type	Method and Description
java.lang.String	getAdjPears()
java.lang.String	getAdjPearson()
java.lang.Double	getAlpha()
Casouttable	getCasOut()
java.lang.String	getCBar()
java.lang.Object	getCopyVars()
java.lang.String	getDevResid()
java.lang.String	getDifChisq()
java.lang.String	getDifDev()
java.lang.String	getH()
java.lang.String	getHatDiag()
java.lang.String	getILink()
java.lang.String	getIndividual()
java.lang.String	getIp()
java.lang.String	getIpred()
java.lang.String	getLcl()
java.lang.String	getLclm()
java.lang.String	getLd()
java.lang.String	getLevel()
java.lang.String	getLikeDist()
java.lang.String	getLinP()
java.lang.String	getLower()
java.lang.String	getLowerLinP()
java.lang.String	getLowerMean()
java.lang.String	getLowerXBeta()
java.lang.String	getMean()
java.lang.Boolean	getObscat()
java.lang.String	getP()
java.lang.String	getPears()
java.lang.String	getPearson()
java.lang.String	getPred()
java.lang.String	getPredicted()
java.lang.Boolean	getPredprobs()
java.lang.String	getR()
java.lang.String	getRawResid()
java.lang.String	getResChi()
java.lang.String	getResDev()
java.lang.String	getResid()
java.lang.String	getResidual()
java.lang.String	getResLik()
java.lang.String	getResLike()
java.lang.String	getResRaw()
java.lang.String	getResWork()
java.lang.String	getRole()
java.lang.Object	getServerDefaultValue(java.lang.String key) Gets the server default value, if known.
java.lang.String	getStdDevResid()
java.lang.String	getStdP()
java.lang.String	getStdResChi()
java.lang.String	getStdResDev()
java.lang.String	getStdXBeta()
java.lang.String	getUcl()
java.lang.String	getUclm()
java.lang.String	getUpper()
java.lang.String	getUpperLinP()
java.lang.String	getUpperMean()
java.lang.String	getUpperXBeta()
java.lang.String	getXBeta()
GenmodOutputStatement	setAdjPears(java.lang.String value)
GenmodOutputStatement	setAdjPearson(java.lang.String value)
GenmodOutputStatement	setAlpha(java.lang.Double value) Sets the value of parameter 'alpha': specifies the significance level used for the construction of confidence intervals.
GenmodOutputStatement	setCasOut(Casouttable value) Sets the value of parameter 'casOut': specifies the settings for an output table.
GenmodOutputStatement	setCBar(java.lang.String value) Sets the value of parameter 'cBar': names the confidence interval displacement, which measures the overall change in the global regression estimates attributable to deleting the individual observation.
GenmodOutputStatement	setCopyVars(GenmodOutputStatement.COPYVARS value) Sets the value of parameter 'copyVars' for alternative 1.
GenmodOutputStatement	setCopyVars(java.lang.String[] value) Sets the value of parameter 'copyVars' for alternative 2.
GenmodOutputStatement	setDevResid(java.lang.String value)
GenmodOutputStatement	setDifChisq(java.lang.String value) Sets the value of parameter 'difChisq': names the change in the Pearson chi-square statistic attributable to deleting the individual observation.
GenmodOutputStatement	setDifDev(java.lang.String value) Sets the value of parameter 'difDev': names the change in the deviance attributable to deleting the individual observation.
GenmodOutputStatement	setH(java.lang.String value) Sets the value of parameter 'h': names the leverage of the observation.
GenmodOutputStatement	setHatDiag(java.lang.String value)
GenmodOutputStatement	setILink(java.lang.String value)
GenmodOutputStatement	setIndividual(java.lang.String value)
GenmodOutputStatement	setIp(java.lang.String value)
GenmodOutputStatement	setIpred(java.lang.String value) Sets the value of parameter 'ipred': names the individual predicted value for a cumulative link.
GenmodOutputStatement	setLcl(java.lang.String value) Sets the value of parameter 'lcl': names the lower bound of a confidence interval for the linear predictor.
GenmodOutputStatement	setLclm(java.lang.String value) Sets the value of parameter 'lclm': names the lower bound of a confidence interval for the mean.
GenmodOutputStatement	setLd(java.lang.String value)
GenmodOutputStatement	setLevel(java.lang.String value) Sets the value of parameter 'level': names the ordered response level.
GenmodOutputStatement	setLikeDist(java.lang.String value)
GenmodOutputStatement	setLinP(java.lang.String value)
GenmodOutputStatement	setLower(java.lang.String value)
GenmodOutputStatement	setLowerLinP(java.lang.String value)
GenmodOutputStatement	setLowerMean(java.lang.String value)
GenmodOutputStatement	setLowerXBeta(java.lang.String value)
GenmodOutputStatement	setMean(java.lang.String value)
GenmodOutputStatement	setObscat(java.lang.Boolean value) Sets the value of parameter 'obscat': computes multinomial output statistics at the observed response level.
GenmodOutputStatement	setP(java.lang.String value)
GenmodOutputStatement	setPears(java.lang.String value)
GenmodOutputStatement	setPearson(java.lang.String value)
GenmodOutputStatement	setPred(java.lang.String value) Sets the value of parameter 'pred': names the predicted value.
GenmodOutputStatement	setPredicted(java.lang.String value)
GenmodOutputStatement	setPredprobs(java.lang.Boolean value) Sets the value of parameter 'predprobs': displays requested multinomial predicted probabilities as separate variables.
GenmodOutputStatement	setR(java.lang.String value)
GenmodOutputStatement	setRawResid(java.lang.String value)
GenmodOutputStatement	setResChi(java.lang.String value) Sets the value of parameter 'resChi': names the Pearson chi-square residual.
GenmodOutputStatement	setResDev(java.lang.String value) Sets the value of parameter 'resDev': names the deviance residual.
GenmodOutputStatement	setResid(java.lang.String value)
GenmodOutputStatement	setResidual(java.lang.String value)
GenmodOutputStatement	setResLik(java.lang.String value) Sets the value of parameter 'resLik': names the likelihood residual (likelihood displacement).
GenmodOutputStatement	setResLike(java.lang.String value)
GenmodOutputStatement	setResRaw(java.lang.String value) Sets the value of parameter 'resRaw': names the raw residual.
GenmodOutputStatement	setResWork(java.lang.String value) Sets the value of parameter 'resWork': names the working residual.
GenmodOutputStatement	setRole(java.lang.String value) Sets the value of parameter 'role': identifies the training, validation, and test roles for the observations.
GenmodOutputStatement	setStdDevResid(java.lang.String value)
GenmodOutputStatement	setStdP(java.lang.String value)
GenmodOutputStatement	setStdResChi(java.lang.String value) Sets the value of parameter 'stdResChi': names the standardized Pearson chi-square residual.
GenmodOutputStatement	setStdResDev(java.lang.String value) Sets the value of parameter 'stdResDev': names the standardized deviance residual.
GenmodOutputStatement	setStdXBeta(java.lang.String value) Sets the value of parameter 'stdXBeta': names the standard error of the linear predictor.
GenmodOutputStatement	setUcl(java.lang.String value) Sets the value of parameter 'ucl': names the upper bound of a confidence interval for the linear predictor.
GenmodOutputStatement	setUclm(java.lang.String value) Sets the value of parameter 'uclm': names the upper bound of a confidence interval for the mean.
GenmodOutputStatement	setUpper(java.lang.String value)
GenmodOutputStatement	setUpperLinP(java.lang.String value)
GenmodOutputStatement	setUpperMean(java.lang.String value)
GenmodOutputStatement	setUpperXBeta(java.lang.String value)
GenmodOutputStatement	setXBeta(java.lang.String value) Sets the value of parameter 'xBeta': names the linear predictor.

Methods inherited from class com.sas.cas.CASActionOptions

addActionFlags, addParameterFlag, appendValue, checkForPasswords, clear, containsKey, containsValue, convertToEnumArray, copy, deserialize, entrySet, equals, findOptionsClass, findSetter, get, getActionFlags, getActionName, getActionResponseEventListener, getActionResultEventListener, getActionSetName, getCASClient, getClassName, getDebugOptions, getDispositionEventListener, getFullyQualifiedActionName, getLogEventListener, getLogMessage, getMessageOutputStream, getMessageTagHandler, getParameter, getParameterAsBoolean, getParameterAsByteArray, getParameterAsDouble, getParameterAsDoubleArray, getParameterAsInteger, getParameterAsIntegerArray, getParameterAsLong, getParameterAsLongArray, getParameterAsString, getParameterAsStringArray, getParameterFlags, getParameterIgnoreCase, getParameterIgnoreCase, getParameterKeys, getPerformanceEventListener, getPropertyKey, getSessionID, getUserProperty, getUserPropertyKeys, hashCode, invoke, isEmpty, isFlagSet, isMap, isParameterFlagSet, isPassword, isPath, isRequired, isTable, isVariable, keySet, put, putAll, putAllDeep, putDeep, putDeep, quoteIfNotNull, remove, removeParameter, set, setActionFlags, setActionName, setActionResponseEventListener, setActionResultEventListener, setActionSetName, setCASClient, setDebugOptions, setDispositionEventListener, setFullyQualifiedActionName, setLogEventListener, setLogMessage, setMessageOutputStream, setMessageTagHandler, setParameter, setPerformanceEventListener, setPropertyKey, setSessionID, setUserProperty, size, toCASLString, toLuaString, toLuaString, toOptionsWithGeneratedClasses, toSerialized, toString, toString, toString, upcaseFirstChar, values

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

Field Detail

KEY_CASOUT

public static final java.lang.String KEY_CASOUT

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Constant Field Values

KEY_COPYVARS

public static final java.lang.String KEY_COPYVARS

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Constant Field Values

KEY_ROLE

public static final java.lang.String KEY_ROLE

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Constant Field Values

KEY_PRED

public static final java.lang.String KEY_PRED

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Constant Field Values

KEY_RESRAW

public static final java.lang.String KEY_RESRAW

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Constant Field Values

KEY_XBETA

public static final java.lang.String KEY_XBETA

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Constant Field Values

KEY_STDXBETA

public static final java.lang.String KEY_STDXBETA

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Constant Field Values

KEY_LCL

public static final java.lang.String KEY_LCL

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Constant Field Values

KEY_UCL

public static final java.lang.String KEY_UCL

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Constant Field Values

KEY_LCLM

public static final java.lang.String KEY_LCLM

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Constant Field Values

KEY_UCLM

public static final java.lang.String KEY_UCLM

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Constant Field Values

KEY_H

public static final java.lang.String KEY_H

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Constant Field Values

KEY_RESCHI

public static final java.lang.String KEY_RESCHI

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Constant Field Values

KEY_STDRESCHI

public static final java.lang.String KEY_STDRESCHI

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Constant Field Values

KEY_RESDEV

public static final java.lang.String KEY_RESDEV

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Constant Field Values

KEY_STDRESDEV

public static final java.lang.String KEY_STDRESDEV

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Constant Field Values

KEY_RESLIK

public static final java.lang.String KEY_RESLIK

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Constant Field Values

KEY_RESWORK

public static final java.lang.String KEY_RESWORK

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Constant Field Values

KEY_DIFDEV

public static final java.lang.String KEY_DIFDEV

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Constant Field Values

KEY_DIFCHISQ

public static final java.lang.String KEY_DIFCHISQ

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Constant Field Values

KEY_CBAR

public static final java.lang.String KEY_CBAR

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Constant Field Values

KEY_ALPHA

public static final java.lang.String KEY_ALPHA

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Constant Field Values

KEY_LEVEL

public static final java.lang.String KEY_LEVEL

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Constant Field Values

KEY_OBSCAT

public static final java.lang.String KEY_OBSCAT

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Constant Field Values

KEY_IPRED

public static final java.lang.String KEY_IPRED

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Constant Field Values

KEY_PREDPROBS

public static final java.lang.String KEY_PREDPROBS

See Also:

Constant Field Values

Constructor Detail

GenmodOutputStatement

public GenmodOutputStatement()

GenmodOutputStatement

public GenmodOutputStatement(CASActionOptions options)

Method Detail

getServerDefaultValue

public java.lang.Object getServerDefaultValue(java.lang.String key)

Description copied from class: CASActionOptions

Gets the server default value, if known.

Overrides:

getServerDefaultValue in class CASActionOptions

Parameters:

key - The parameter key

Returns:

THe default value, or null if not known

getCasOut

public Casouttable getCasOut()

setCasOut

public GenmodOutputStatement setCasOut(Casouttable value)

Sets the value of parameter 'casOut': specifies the settings for an output table.

Parameters:

value - The value

Returns:

The options object

getCopyVars

public java.lang.Object getCopyVars()

setCopyVars

public GenmodOutputStatement setCopyVars(GenmodOutputStatement.COPYVARS value)

Sets the value of parameter 'copyVars' for alternative 1. The server default is COPYVARS.ALL_MODEL.

Parameters:

value - The value

Returns:

The options object

setCopyVars

public GenmodOutputStatement setCopyVars(java.lang.String[] value)

Sets the value of parameter 'copyVars' for alternative 2.

Parameters:

value - The value

Returns:

The options object

getRole

public java.lang.String getRole()

setRole

public GenmodOutputStatement setRole(java.lang.String value)

Sets the value of parameter 'role': identifies the training, validation, and test roles for the observations.

Parameters:

value - The value

Returns:

The options object

getPred

public java.lang.String getPred()

getP

public java.lang.String getP()

getPredicted

public java.lang.String getPredicted()

getILink

public java.lang.String getILink()

getMean

public java.lang.String getMean()

setPred

public GenmodOutputStatement setPred(java.lang.String value)

Sets the value of parameter 'pred': names the predicted value. If you do not specify any output statistics, then by default the predicted value is named _PRED_.

Parameters:

value - The value

Returns:

The options object

setP

public GenmodOutputStatement setP(java.lang.String value)

setPredicted

public GenmodOutputStatement setPredicted(java.lang.String value)

setILink

public GenmodOutputStatement setILink(java.lang.String value)

setMean

public GenmodOutputStatement setMean(java.lang.String value)

getResRaw

public java.lang.String getResRaw()

getR

public java.lang.String getR()

getResid

public java.lang.String getResid()

getResidual

public java.lang.String getResidual()

getRawResid

public java.lang.String getRawResid()

setResRaw

public GenmodOutputStatement setResRaw(java.lang.String value)

Sets the value of parameter 'resRaw': names the raw residual.

Parameters:

value - The value

Returns:

The options object

setR

public GenmodOutputStatement setR(java.lang.String value)

setResid

public GenmodOutputStatement setResid(java.lang.String value)

setResidual

public GenmodOutputStatement setResidual(java.lang.String value)

setRawResid

public GenmodOutputStatement setRawResid(java.lang.String value)

getXBeta

public java.lang.String getXBeta()

getLinP

public java.lang.String getLinP()

setXBeta

public GenmodOutputStatement setXBeta(java.lang.String value)

Sets the value of parameter 'xBeta': names the linear predictor.

Parameters:

value - The value

Returns:

The options object

setLinP

public GenmodOutputStatement setLinP(java.lang.String value)

getStdXBeta

public java.lang.String getStdXBeta()

getStdP

public java.lang.String getStdP()

setStdXBeta

public GenmodOutputStatement setStdXBeta(java.lang.String value)

Sets the value of parameter 'stdXBeta': names the standard error of the linear predictor.

Parameters:

value - The value

Returns:

The options object

setStdP

public GenmodOutputStatement setStdP(java.lang.String value)

getLcl

public java.lang.String getLcl()

getLowerXBeta

public java.lang.String getLowerXBeta()

getLowerLinP

public java.lang.String getLowerLinP()

setLcl

public GenmodOutputStatement setLcl(java.lang.String value)

Sets the value of parameter 'lcl': names the lower bound of a confidence interval for the linear predictor.

Parameters:

value - The value

Returns:

The options object

setLowerXBeta

public GenmodOutputStatement setLowerXBeta(java.lang.String value)

setLowerLinP

public GenmodOutputStatement setLowerLinP(java.lang.String value)

getUcl

public java.lang.String getUcl()

getUpperXBeta

public java.lang.String getUpperXBeta()

getUpperLinP

public java.lang.String getUpperLinP()

setUcl

public GenmodOutputStatement setUcl(java.lang.String value)

Sets the value of parameter 'ucl': names the upper bound of a confidence interval for the linear predictor.

Parameters:

value - The value

Returns:

The options object

setUpperXBeta

public GenmodOutputStatement setUpperXBeta(java.lang.String value)

setUpperLinP

public GenmodOutputStatement setUpperLinP(java.lang.String value)

getLclm

public java.lang.String getLclm()

getLower

public java.lang.String getLower()

getLowerMean

public java.lang.String getLowerMean()

setLclm

public GenmodOutputStatement setLclm(java.lang.String value)

Sets the value of parameter 'lclm': names the lower bound of a confidence interval for the mean.

Parameters:

value - The value

Returns:

The options object

setLower

public GenmodOutputStatement setLower(java.lang.String value)

setLowerMean

public GenmodOutputStatement setLowerMean(java.lang.String value)

getUclm

public java.lang.String getUclm()

getUpper

public java.lang.String getUpper()

getUpperMean

public java.lang.String getUpperMean()

setUclm

public GenmodOutputStatement setUclm(java.lang.String value)

Sets the value of parameter 'uclm': names the upper bound of a confidence interval for the mean.

Parameters:

value - The value

Returns:

The options object

setUpper

public GenmodOutputStatement setUpper(java.lang.String value)

setUpperMean

public GenmodOutputStatement setUpperMean(java.lang.String value)

getH

public java.lang.String getH()

getHatDiag

public java.lang.String getHatDiag()

setH

public GenmodOutputStatement setH(java.lang.String value)

Sets the value of parameter 'h': names the leverage of the observation.

Parameters:

value - The value

Returns:

The options object

setHatDiag

public GenmodOutputStatement setHatDiag(java.lang.String value)

getResChi

public java.lang.String getResChi()

getPearson

public java.lang.String getPearson()

getPears

public java.lang.String getPears()

setResChi

public GenmodOutputStatement setResChi(java.lang.String value)

Sets the value of parameter 'resChi': names the Pearson chi-square residual.

Parameters:

value - The value

Returns:

The options object

setPearson

public GenmodOutputStatement setPearson(java.lang.String value)

setPears

public GenmodOutputStatement setPears(java.lang.String value)

getStdResChi

public java.lang.String getStdResChi()

getAdjPearson

public java.lang.String getAdjPearson()

getAdjPears

public java.lang.String getAdjPears()

setStdResChi

public GenmodOutputStatement setStdResChi(java.lang.String value)

Sets the value of parameter 'stdResChi': names the standardized Pearson chi-square residual.

Parameters:

value - The value

Returns:

The options object

setAdjPearson

public GenmodOutputStatement setAdjPearson(java.lang.String value)

setAdjPears

public GenmodOutputStatement setAdjPears(java.lang.String value)

getResDev

public java.lang.String getResDev()

getDevResid

public java.lang.String getDevResid()

setResDev

public GenmodOutputStatement setResDev(java.lang.String value)

Sets the value of parameter 'resDev': names the deviance residual.

Parameters:

value - The value

Returns:

The options object

setDevResid

public GenmodOutputStatement setDevResid(java.lang.String value)

getStdResDev

public java.lang.String getStdResDev()

getStdDevResid

public java.lang.String getStdDevResid()

setStdResDev

public GenmodOutputStatement setStdResDev(java.lang.String value)

Sets the value of parameter 'stdResDev': names the standardized deviance residual.

Parameters:

value - The value

Returns:

The options object

setStdDevResid

public GenmodOutputStatement setStdDevResid(java.lang.String value)

getResLik

public java.lang.String getResLik()

getLikeDist

public java.lang.String getLikeDist()

getLd

public java.lang.String getLd()

getResLike

public java.lang.String getResLike()

setResLik

public GenmodOutputStatement setResLik(java.lang.String value)

Sets the value of parameter 'resLik': names the likelihood residual (likelihood displacement).

Parameters:

value - The value

Returns:

The options object

setLikeDist

public GenmodOutputStatement setLikeDist(java.lang.String value)

setLd

public GenmodOutputStatement setLd(java.lang.String value)

setResLike

public GenmodOutputStatement setResLike(java.lang.String value)

getResWork

public java.lang.String getResWork()

setResWork

public GenmodOutputStatement setResWork(java.lang.String value)

Sets the value of parameter 'resWork': names the working residual.

Parameters:

value - The value

Returns:

The options object

getDifDev

public java.lang.String getDifDev()

setDifDev

public GenmodOutputStatement setDifDev(java.lang.String value)

Sets the value of parameter 'difDev': names the change in the deviance attributable to deleting the individual observation.

Parameters:

value - The value

Returns:

The options object

getDifChisq

public java.lang.String getDifChisq()

setDifChisq

public GenmodOutputStatement setDifChisq(java.lang.String value)

Sets the value of parameter 'difChisq': names the change in the Pearson chi-square statistic attributable to deleting the individual observation.

Parameters:

value - The value

Returns:

The options object

getCBar

public java.lang.String getCBar()

setCBar

public GenmodOutputStatement setCBar(java.lang.String value)

Sets the value of parameter 'cBar': names the confidence interval displacement, which measures the overall change in the global regression estimates attributable to deleting the individual observation.

Parameters:

value - The value

Returns:

The options object

getAlpha

public java.lang.Double getAlpha()

setAlpha

public GenmodOutputStatement setAlpha(java.lang.Double value)

Sets the value of parameter 'alpha': specifies the significance level used for the construction of confidence intervals. By default, this is set to the global significance level. The server default is -1.

Parameters:

value - The value

Returns:

The options object

getLevel

public java.lang.String getLevel()

setLevel

public GenmodOutputStatement setLevel(java.lang.String value)

Sets the value of parameter 'level': names the ordered response level.

Parameters:

value - The value

Returns:

The options object

getObscat

public java.lang.Boolean getObscat()

setObscat

public GenmodOutputStatement setObscat(java.lang.Boolean value)

Sets the value of parameter 'obscat': computes multinomial output statistics at the observed response level. The server default is FALSE.

Parameters:

value - The value

Returns:

The options object

getIpred

public java.lang.String getIpred()

getIp

public java.lang.String getIp()

getIndividual

public java.lang.String getIndividual()

setIpred

public GenmodOutputStatement setIpred(java.lang.String value)

Sets the value of parameter 'ipred': names the individual predicted value for a cumulative link. If you do not specify any output statistics, then by default the predicted value is named _IPRED_.

Parameters:

value - The value

Returns:

The options object

setIp

public GenmodOutputStatement setIp(java.lang.String value)

setIndividual

public GenmodOutputStatement setIndividual(java.lang.String value)

getPredprobs

public java.lang.Boolean getPredprobs()

setPredprobs

public GenmodOutputStatement setPredprobs(java.lang.Boolean value)

Sets the value of parameter 'predprobs': displays requested multinomial predicted probabilities as separate variables. The server default is FALSE.

Parameters:

value - The value

Returns:

The options object