Package: mix 1.0-12

Brian Ripley

mix: Estimation/Multiple Imputation for Mixed Categorical and Continuous Data

Estimation/multiple imputation programs for mixed categorical and continuous data.

Authors:Original by Joseph L. Schafer <[email protected]>.

# Install 'mix' in R:

install.packages('mix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 4 months agofrom:bab7f909f0. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 11 2024
R-4.5-linux-x86_64	OK	Sep 11 2024

Dependencies:

Help page	Topics
Data Augmentation for Unrestricted General Location Model	da.mix
Data Augmentation/Bayesian IPF Algorithm for Restricted General Location Models	dabipf.mix
ECM Algorithm for Restricted General Location Model	ecm.mix
EM Algorithm for Unrestricted General Location Model	em.mix
Present Parameters of General Location Model in an Understandable Format	getparam.mix
Impute Missing Data Under General Location Model	imp.mix
Loglikelihood for Incomplete Data under the General Location Model	loglik.mix
Multiple Imputation Inference	mi.inference
Preliminary Manipulations on Matrix of Incomplete Mixed Data	prelim.mix
Initialize Random Number Generator Seed	rngseed
St. Louis Risk Research Project	stlouis