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 |