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glmpca  

Dimension Reduction of Non-Normally Distributed Data
View on CRAN: Click here


Download and install glmpca package within the R console
Install from CRAN:
install.packages("glmpca")

Install from Github:
library("remotes")
install_github("cran/glmpca")

Install by package version:
library("remotes")
install_version("glmpca", "0.2.0")



Attach the package and use:
library("glmpca")
Maintained by
F. William Townes
[Scholar Profile | Author Map]
First Published: 2019-09-27
Latest Update: 2020-07-18
Description:
Implements a generalized version of principal components analysis (GLM-PCA) for dimension reduction of non-normally distributed data such as counts or binary matrices. Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) . Townes FW (2019) .
How to cite:
F. William Townes (2019). glmpca: Dimension Reduction of Non-Normally Distributed Data. R package version 0.2.0, https://cran.r-project.org/web/packages/glmpca. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.1.0 (2019-09-27 12:50)
Other packages that cited glmpca R package
View glmpca citation profile
Other R packages that glmpca depends, imports, suggests or enhances
Complete documentation for glmpca
Functions, R codes and Examples using the glmpca R package
Some associated functions: glmpca . predict.glmpca . 
Some associated R codes: families.R . glmpca.R . initialization.R . optimizers.R . postprocess.R . utils.R .  Full glmpca package functions and examples
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