# Coarsened Variable Modeling

## Documentation for package ‘cvam’ version 0.9.3

- 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
strokePatients | Stroke Patient 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