Package: SCGLR 3.1.9000

Guillaume Cornu

SCGLR: Supervised Component Generalized Linear Regression

An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM estimation in the multivariate context. Covariates can also be grouped in themes.

Authors:Guillaume Cornu [aut, cre], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut], Jocelyn Chauvet [aut], Sylvie Gourlet-Fleury [dtc], Claude Garcia [dtc], GAMBAS [fnd]

SCGLR_3.1.9000.tar.gz
SCGLR_3.1.9000.zip(r-4.5)SCGLR_3.1.9000.zip(r-4.4)SCGLR_3.1.9000.zip(r-4.3)
SCGLR_3.1.9000.tgz(r-4.5-any)SCGLR_3.1.9000.tgz(r-4.4-any)SCGLR_3.1.9000.tgz(r-4.3-any)
SCGLR_3.1.9000.tar.gz(r-4.5-noble)SCGLR_3.1.9000.tar.gz(r-4.4-noble)
SCGLR_3.1.9000.tgz(r-4.4-emscripten)SCGLR_3.1.9000.tgz(r-4.3-emscripten)
SCGLR.pdf |SCGLR.html✨
SCGLR/json (API)
NEWS

# Install 'SCGLR' in R:

install.packages('SCGLR', repos = c('https://scnext.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/scnext/scglr/issues

Pkgdown site:https://scnext.github.io

Datasets:

dataGen - Sample dataset of abundance of genera in tropical moist forest
genus - Sample dataset of abundance of genera in tropical moist forest
genus2 - Sample dataset of abundance of genera in tropical moist forest

On CRAN:

partial-least-squares-regression

4.43 score 2 stars 67 scripts 155 downloads 11 exports 37 dependencies

Last updated 1 hours agofrom:01d669f062. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 27 2025
R-4.5-win	OK	Mar 27 2025
R-4.5-mac	OK	Mar 27 2025
R-4.5-linux	OK	Mar 27 2025
R-4.4-win	OK	Mar 27 2025
R-4.4-mac	OK	Mar 27 2025
R-4.4-linux	OK	Mar 27 2025
R-4.3-win	OK	Mar 27 2025
R-4.3-mac	OK	Mar 27 2025

Exports:critConvergence infoCriterion kCompRand methodSR multivariateFormula multivariateGlm.fit multivariatePredictGlm scglr scglrCrossVal scglrTheme scglrThemeBackward

Dependencies:ade4 cli colorspace fansi farver Formula ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pixmap pkgconfig pls plyr pROC R6 RColorBrewer Rcpp RcppArmadillo rlang scales sp tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Auxiliary function for controlling SCGLR fitting	critConvergence
Plot customization	customize
Sample dataset of abundance of genera in tropical moist forest	dataGen
Sample dataset of abundance of genera in tropical moist forest	genus
Sample dataset of abundance of genera in tropical moist forest	genus2
Function that fits the mixed-SCGLR model	kCompRand
Regularization criterion types	methodSR
Formula construction	multivariateFormula
Pairwise scglr plot on components	pairs.SCGLR
SCGLR generic plot	plot.SCGLR
SCGLRTHM generic plot	plot.SCGLRTHM
Function that fits the scglr model	scglr
Function that fits and selects the number of component by cross-validation.	scglrCrossVal
Function that fits the theme model	scglrTheme
Theme Backward selection	scglrThemeBackward
Screeplot of percent of overall X variance captured by component	screeplot.SCGLR
Screeplot of percent of overall X variance captured by component	screeplot.SCGLRTHM