Package: longit 0.1.0

longit: High Dimensional Longitudinal Data Analysis Using MCMC

High dimensional longitudinal data analysis with Markov Chain Monte Carlo(MCMC). Currently support mixed effect regression with or without missing observations by considering covariance structures. It provides estimates by missing at random and missing not at random assumptions. In this R package, we present Bayesian approaches that statisticians and clinical researchers can easily use. The functions' methodology is based on the book "Bayesian Approaches in Oncology Using R and OpenBUGS" by Bhattacharjee A (2020) <doi:10.1201/9780429329449-14>.

Authors:Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb], Bhrigu Kumar Rajbongshi [aut, ctb]

longit_0.1.0.tar.gz
longit_0.1.0.zip(r-4.7)longit_0.1.0.zip(r-4.6)longit_0.1.0.zip(r-4.5)
longit_0.1.0.tgz(r-4.6-any)longit_0.1.0.tgz(r-4.5-any)
longit_0.1.0.tar.gz(r-4.7-any)longit_0.1.0.tar.gz(r-4.6-any)
longit_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
longit/json (API)

# Install 'longit' in R:
install.packages('longit', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

jagscpp

1.00 score 193 downloads 10 exports 40 dependencies

Last updated from:2aa442df66. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE158
source / vignettesOK222
linux-release-x86_64NOTE144
macos-release-arm64NOTE102
macos-oldrel-arm64NOTE122
windows-develNOTE121
windows-releaseNOTE112
windows-oldrelNOTE99
wasm-releaseOK109

Exports:BysmixedBysmxDICBysmxHPDBysmxmsBysmxmsscreghdmarjghdmnarjgmvncovar1mvncovar2

Dependencies:abindAICcmodavgbootclicodacodetoolsdigestdoRNGforeachglueiteratorsitertoolslatticelifecyclemagrittrMASSMatrixmissForestnlmeR2jagsR2WinBUGSrandomForestrangerrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrjagsrlangrngtoolsstringistringrsurvivalTMBunmarkedvctrsVGAMxtable