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cvam  

Coarsened Variable Modeling
View on CRAN: Click here


Download and install cvam package within the R console
Install from CRAN:
install.packages("cvam")

Install from Github:
library("remotes")
install_github("cran/cvam")

Install by package version:
library("remotes")
install_version("cvam", "0.9.3")



Attach the package and use:
library("cvam")
Maintained by
Joseph L. Schafer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-23
Latest Update:
Description:
Extends Rs implementation of categorical variables factorsto handle coarsened observations implements log-linear models forcoarsened categorical data including latent-class models. Detailedinformation and examples are provided in the package vignettes.
How to cite:
Joseph L. Schafer (2021). cvam: Coarsened Variable Modeling. R package version 0.9.3, https://cran.r-project.org/web/packages/cvam. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:29), 0.9.0 (2021-09-23 20:10), 0.9.1 (2021-10-01 15:50), 0.9.2 (2021-10-18 18:30), 0.9.3 (2023-02-22 22:00)
Other packages that cited cvam R package
View cvam citation profile
Other R packages that cvam depends, imports, suggests or enhances
Functions, R codes and Examples using the cvam R package
Some associated functions: abortion2000 . anova.cvam . baseLevels . cig2019 . coarsened . crime . cvam-package . cvam . cvamControl . cvamEstimate . cvamImpute . cvamPredict . cvamPrior . cvamlik . dropCoarseLevels . get.coef . hivtest . is.naCoarsened . latentFactor . miInference . microUCBAdmissions . seatbelt . summary.cvam . 
Some associated R codes: coarsened.R . cvamMlogit.R . cvamModel.R . miInference.R . msgCvam.R .  Full cvam package functions and examples
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