Package: transformGamPoi 1.19.0

Constantin Ahlmann-Eltze

transformGamPoi: Variance Stabilizing Transformation for Gamma-Poisson Models

Variance-stabilizing transformations help with the analysis of heteroskedastic data (i.e., data where the variance is not constant, like count data). This package provide two types of variance stabilizing transformations: (1) methods based on the delta method (e.g., 'acosh', 'log(x+1)'), (2) model residual based (Pearson and randomized quantile residuals).

Authors:Constantin Ahlmann-Eltze [aut, cre]

transformGamPoi_1.19.0.tar.gz
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transformGamPoi_1.19.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
transformGamPoi/json (API)

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

Bug tracker:https://github.com/const-ae/transformgampoi/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:transformGamPoi-1.19.0(bioc 3.24)transformGamPoi-1.18.0(bioc 3.23)

singlecellnormalizationpreprocessingregressioncpp

5.26 score 22 stars 41 scripts 430 downloads 4 exports 38 dependencies

Last updated from:65fe01422d. Checks:1 NOTE, 14 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE166
linux-devel-arm64ERROR163
linux-devel-x86_64ERROR277
source / vignettesERROR266
linux-release-arm64ERROR155
linux-release-x86_64ERROR275
macos-release-arm64ERROR140
macos-release-x86_64ERROR226
macos-oldrel-arm64ERROR169
macos-oldrel-x86_64ERROR424
windows-devel-arm64ERROR306
windows-devel-x86_64ERROR670
windows-release-arm64ERROR290
windows-release-x86_64ERROR951
windows-oldrel-x86_64ERROR707
wasm-releaseOK129

Exports:acosh_transformresidual_transformshifted_log_transformtransformGamPoi

Dependencies:abindassortheadbeachmatBiobaseBiocGenericsbiocmakecliDelayedArrayDelayedMatrixStatsdir.expiryfilelockgenericsGenomicRangesglmGamPoiglueh5mreadHDF5ArrayIRangeslatticelifecycleMatrixMatrixGenericsmatrixStatsRcppRcppArmadillorhdf5rhdf5filtersRhdf5librlangS4ArraysS4VectorsSeqinfoSingleCellExperimentSparseArraysparseMatrixStatsSummarizedExperimentvctrsXVector