Package: IIVpredictor 0.1.0

Xiao Liu

IIVpredictor: Modeling Within Individual Variability as Predictor

Time parceling method and Bayesian variability modeling methods for modeling within individual variability indicators as predictors.For more details, see <https://github.com/xliu12/IIVpredicitor>.

Authors:Lijuan Wang [aut, cph], Xiao Liu [aut, cre, cph], Miao Yang [aut, cph]

IIVpredictor_0.1.0.tar.gz
IIVpredictor_0.1.0.tar.gz(r-4.5-noble)IIVpredictor_0.1.0.tar.gz(r-4.4-noble)
IIVpredictor_0.1.0.tgz(r-4.4-emscripten)IIVpredictor_0.1.0.tgz(r-4.3-emscripten)
IIVpredictor.pdf |IIVpredictor.html
IIVpredictor/json (API)

# Install 'IIVpredictor' in R:
install.packages('IIVpredictor', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

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

jagscpp

2.00 score 2 scripts 186 downloads 3 exports 21 dependencies

Last updated 4 years agofrom:5d29ed6198. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 03 2024
R-4.5-linuxOKDec 03 2024

Exports:ISD.BVIVAR.BVIVAR.TPB

Dependencies:abindbootclicodagluelatticelavaanlifecyclemagrittrMASSmnormtnumDerivpbivnormquadprogR2jagsR2WinBUGSrjagsrlangstringistringrvctrs

IIVpredictor-vignette

Rendered fromIIVpredictor-vignette.Rmdusingknitr::rmarkdownon Dec 03 2024.

Last update: 2021-05-18
Started: 2021-05-18