Package: MDimNormn 0.8.0

Mun-Gwan Hong

MDimNormn: Multi-Dimensional MA Normalization for Plate Effect

Normalize data to minimize the difference between sample plates (batch effects). For given data in a matrix and grouping variable (or plate), the function 'normn_MA' normalizes the data on MA coordinates. More details are in the citation. The primary method is 'Multi-MA'. Other fitting functions on MA coordinates can also be employed e.g. loess.

Authors:Mun-Gwan Hong

MDimNormn_0.8.0.tar.gz
MDimNormn_0.8.0.zip(r-4.7-any)MDimNormn_0.8.0.zip(r-4.6-any)MDimNormn_0.8.0.zip(r-4.5-any)
MDimNormn_0.8.0.tgz(r-4.6-any)MDimNormn_0.8.0.tgz(r-4.5-any)
MDimNormn_0.8.0.tar.gz(r-4.7-any)MDimNormn_0.8.0.tar.gz(r-4.6-any)
MDimNormn_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MDimNormn/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:
  • sba - Artificially generated data alike that of Suspension bead arrays

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 3 scripts 215 downloads 1 exports 0 dependencies

Last updated from:41a6bbd878 (on package/MDimNormn). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE81
source / vignettesOK172
linux-releaseNOTE85
macos-releaseNOTE74
macos-oldrelNOTE117
windows-develNOTE59
windows-releaseNOTE74
windows-oldrelNOTE94
wasm-releaseOK87

Exports:normn_MA

Dependencies: