R: High Dimensional Longitudinal Data Analysis Using MCMC

# High Dimensional Longitudinal Data Analysis Using MCMC

## Documentation for package ‘longit’ version 0.1.0

- DESCRIPTION file

## Help Pages

Bysmixed | Bayesian mixed effect model with MCMC
BysmxDIC | Bayesian mixed effect model for high dimensional longitduinal data with deviance information criterion (DIC).
BysmxHPD | Bayesian mixed effect model for high dimensional longitduinal data with highest posterior density interval (HPDI).
Bysmxms | Bayesian mixed model with random intercepts and random slopes for high dimensional longitudinal data
Bysmxmss | Bayesian mixed model with random intercepts and random slopes for high dimensional longitudinal data with batch size.
creg | Bayesian multivariate regression with unstructured covariance matrix for high dimensional longitudinal data.
gh | gh
hdmarjg | Missing at ranom by MCMC
hdmnarjg | Missing not at random by MCMC
longitdata | Repeatedly measured protein expression data
msrep | longitudinal data
mvncovar1 | Bayesian multivariate regression with independent covariance matrix for high dimensional longitudinal data.
mvncovar2 | Bayesian multivariate normal regression with unstructured covariance matrix for high dimensional longitudinal data.
repdata | longitudinal data