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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>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: R2jags, lavaan
Suggests: knitr, rmarkdown, testthat (≥ 2.0.0)
Published: 2021-05-18
Author: Lijuan Wang [aut, cph], Xiao Liu [aut, cre, cph], Miao Yang [aut, cph]
Maintainer: Xiao Liu <xliu19 at nd.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: IIVpredictor results

Documentation:

Reference manual: IIVpredictor.pdf
Vignettes: IIVpredictor-vignette

Downloads:

Package source: IIVpredictor_0.1.0.tar.gz
Windows binaries: r-devel: IIVpredictor_0.1.0.zip, r-release: IIVpredictor_0.1.0.zip, r-oldrel: IIVpredictor_0.1.0.zip
macOS binaries: r-release (arm64): IIVpredictor_0.1.0.tgz, r-oldrel (arm64): IIVpredictor_0.1.0.tgz, r-release (x86_64): IIVpredictor_0.1.0.tgz, r-oldrel (x86_64): IIVpredictor_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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