Man pages for cvam
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 |
| coarsened | Coarsened Factors |
| crime | Crime Victimization Data |
| cvam | 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 |
| cvam-package | Coarsened Variable Modeling |
| 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 |
| get.coef | Extract Information from a Coarsened-Variable Model |
| hivtest | HIV test dataset |
| is.naCoarsened | Missing-Value Indicators for Coarsened Factors |
| latentFactor | Latent Factor |
| microUCBAdmissions | UC Berkeley Graduate Admissions Microdata |
| miInference | Combine results from analyses after multiple imputation |
| seatbelt | Seatbelt Data |
| strokePatients | Stroke Patient Data |
| summary.cvam | Summarize a 'cvam' Object |
