Coarsened Variable Modeling

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Documentation for package ‘cvam’ version 0.9.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

cvam-package	Coarsened Variable Modeling
abortion2000	Abortion Attitudes from the 2000 General Social Survey
anova.cvam	Comparing the Fit of Two or More Models
baseLevels	Get Coarsened Factor Attributes
cig2019	Cigarette Use from the 2019 National Health Interview Survey
coarseLevels	Get Coarsened Factor Attributes
coarsened	Coarsened Factors
crime	Crime Victimization Data
cvam	Log-Linear Models for Incomplete Categorical Variables
cvam.cvam	Log-Linear Models for Incomplete Categorical Variables
cvam.default	Log-Linear Models for Incomplete Categorical Variables
cvam.formula	Log-Linear Models for Incomplete Categorical Variables
cvamControl	Control Parameters for 'cvam'
cvamEstimate	Obtain Estimated Probabilities from a Fitted Model
cvamImpute	Impute Data from a Fitted Model
cvamLik	Likelihood of Observed Data Patterns
cvamPredict	Predict Missing or Coarsened Values from a Fitted Model
cvamPrior	Data-Augmentation Prior for Coarsened Factor Loglinear Model
dropCoarseLevels	Remove Coarse Levels from a Coarsened Factor
droplevels.coarsened	Coarsened Factors
get.coef	Extract Information from a Coarsened-Variable Model
get.coefSeries	Extract Information from a Coarsened-Variable Model
get.covMat	Extract Information from a Coarsened-Variable Model
get.estimates	Extract Information from a Coarsened-Variable Model
get.fitted	Extract Information from a Coarsened-Variable Model
get.imputedFreq	Extract Information from a Coarsened-Variable Model
get.loglik	Extract Information from a Coarsened-Variable Model
get.logP	Extract Information from a Coarsened-Variable Model
get.mfTrue	Extract Information from a Coarsened-Variable Model
get.minus2logPSeries	Extract Information from a Coarsened-Variable Model
get.modelMatrix	Extract Information from a Coarsened-Variable Model
get.offset	Extract Information from a Coarsened-Variable Model
get.probSeries	Extract Information from a Coarsened-Variable Model
get.strZero	Extract Information from a Coarsened-Variable Model
hivtest	HIV test dataset
is.coarsened	Coarsened Factors
is.latentFactor	Latent Factor
is.naCoarsened	Missing-Value Indicators for Coarsened Factors
latentFactor	Latent Factor
mapping	Get Coarsened Factor Attributes
microUCBAdmissions	UC Berkeley Graduate Admissions Microdata
miInference	Combine results from analyses after multiple imputation
nBaseLevels	Get Coarsened Factor Attributes
nCoarseLevels	Get Coarsened Factor Attributes
print.coarsened	Coarsened Factors
print.cvam	Summarize a 'cvam' object
print.cvamEstimate	Obtain Estimated Probabilities from a Fitted Model
print.cvamEstimateList	Obtain Estimated Probabilities from a Fitted Model
print.cvamPrior	Data-Augmentation Prior for Coarsened Factor Loglinear Model
print.miInference	Combine results from analyses after multiple imputation
print.summary.cvam	Summarize a 'cvam' object
print.summary.cvamPrior	Data-Augmentation Prior for Coarsened Factor Loglinear Model
relevel.coarsened	Coarsened Factors
reorder.coarsened	Coarsened Factors
rep.coarsened	Coarsened Factors
seatbelt	Seatbelt Data
summary.cvam	Summarize a 'cvam' object
summary.cvamPrior	Data-Augmentation Prior for Coarsened Factor Loglinear Model
[.coarsened	Coarsened Factors
[<-.coarsened	Coarsened Factors
[[.coarsened	Coarsened Factors
[[<-.coarsened	Coarsened Factors