MANONMARTIN . GITHUB . IO {
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Title:
An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods • limpca
Description:
This package has for objectives to provide a method to make Linear Models for high-dimensional designed data. limpca applies a GLM (General Linear Model) version of ASCA and APCA to analyse multivariate sample profiles generated by an experimental design. ASCA/APCA provide powerful visualization tools for multivariate structures in the space of each effect of the statistical model linked to the experimental design and contrarily to MANOVA, it can deal with mutlivariate datasets having more variables than observations. This method can handle unbalanced design.
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12 years and 3 months (reg. 2013-03-08).
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Keywords {🔍}
limpca, package, experimental, design, installation, author, contents, model, multivariate, ascaapca, effect, statistical, open, bioconductor, additional, information, authors, bernadette, govaerts, michel, thiel, manon, martin, skip, started, reference, article, changelog, web, page, accessed, httpsmanonmartingithubiolimpca, applies, glm, general, linear, version, asca, apca, analyse, sample, profiles, generated, provide, powerful, visualization, tools, structures, space, linked,
Topics {✒️}
asca/apca results general linear model statistical model linked fixed categorical factors offers optimized methods sophisticated statistical models bug license artistic-2 calculate effect importance unbalanced experimental design michel thiel manon martin contents limpca 1 additional information bernadette govaerts installation installation limpca presents multivariate structures experimental design web page mutlivariate datasets advantages compared represent data highly customizable future extensions quietly = true links view site built michel manon limpca asca apca bernadette bioconductor package authors effect authors package skip accessed https //manonmartin github glm version space contrarily manova deal variables
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