rstantools: Tools for Developing R Packages Interfacing with 'Stan

CRAN
rstantools: Tools for Developing R Packages Interfacing with 'Stan'

Package: rstantools
Type: Package
Title: Tools for Developing R Packages Interfacing with 'Stan'

R/rstantools-package.R
man/rstantools-package.Rd

rstantools-package: Tools for Developing R Packages Interfacing with Stan

CRAN
rstantools: Tools for Developing R Packages Interfacing with 'Stan'

) { katex.render(e.textContent, e, { throwOnError: false, macros }); }
return;
rstantools-packageR Documentation

R/rstantools-package.R:

CRAN
rstantools: Tools for Developing R Packages Interfacing with 'Stan'

#' Tools for Developing \R Packages Interfacing with Stan
#'
#' @name rstantools-package

tests/testthat/test_metRead-Write.R:

GITHUB
ethevenot/metabolis: Metabolomics Data Analysis

")
testthat::expect_identical(names(prometMset1), c("metabo", "proteo"))
testthat::expect_equal(exprs(prometMset1[["metabo

metRead: metRead

GITHUB
ethevenot/metabolis: Metabolomics Data Analysis

")),
proteo = list(dataMatrix.tsvC = file.path(prometDirC, "proteo", "dataMatrix.tsv

R/data_TMixClust.R:

GITHUB
cbg-ethz/TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

P, Telenti A, Beerenwinkel N, Ciuffi A. (2017) Dynamics of
#' Proteo-Transcriptomic Response to HIV-1 Infection

R/data_TMixClust.R:

BIOC
TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

P, Telenti A, Beerenwinkel N, Ciuffi A. (2017) Dynamics of
#' Proteo-Transcriptomic Response to HIV-1 Infection

best_clust_toy_obj: TMixClust object containing the optimal clustering solution

BIOC
TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

) Dynamics of
Proteo-Transcriptomic Response to HIV-1 Infection.
Examples

best_clust_toy_obj: TMixClust object containing the optimal clustering solution

GITHUB
cbg-ethz/TMixClust: Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines

) Dynamics of
Proteo-Transcriptomic Response to HIV-1 Infection.
Examples