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fastglmpca
View on CRAN: Click
here
Download and install fastglmpca package within the R console
Install from CRAN:
install.packages("fastglmpca")
Install from Github:
library("remotes")
install_github("cran/fastglmpca")
Install by package version:
library("remotes")
install_version("fastglmpca", "0.1-103")
Attach the package and use:
library("fastglmpca")
Maintained by
Eric Weine
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-31
Latest Update: 2024-01-31
Description:
Implements fast, scalable optimization algorithms for
fitting generalized principal components analysis (GLM-PCA) models,
as described in "A Generalization of Principal Components
Analysis to the Exponential Family" Collins M, Dasgupta S, Schapire RE
(2002, ISBN:9780262271738), and subsequently "Feature Selection
and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial
Model" Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019)
.
How to cite:
Eric Weine (2024). fastglmpca: Fast Algorithms for Generalized Principal Component Analysis. R package version 0.1-103, https://cran.r-project.org/web/packages/fastglmpca. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
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imports, suggests or enhances
Complete documentation for fastglmpca
Functions, R codes and Examples using
the fastglmpca R package
Some associated functions: fit_glmpca_pois . fitted.glmpca_pois_fit . generate_glmpca_data_pois . pbmc_facs . set_fastglmpca_threads . summary.glmpca_pois_fit .
Some associated R codes: RcppExports.R . argument_checking.R . fastglmpca-package.R . fit.R . init.R . loglik.R . methods.R . pbmc_facs.R . simulate_data.R . threads.R . utils.R . Full fastglmpca package functions and examples
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