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nbfar
View on CRAN: Click
here
Download and install nbfar package within the R console
Install from CRAN:
install.packages("nbfar")
Install from Github:
library("remotes")
install_github("cran/nbfar")
Install by package version:
library("remotes")
install_version("nbfar", "0.1")
Attach the package and use:
library("nbfar")
Maintained by
Aditya Mishra
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-22
Latest Update: 2022-02-22
Description:
We developed a negative binomial factor regression model to estimate structured (sparse) associations between a feature matrix X and overdispersed count data Y. With 'nbfar', microbiome count data Y can be used, for example, to associate host or environmental covariates with microbial abundances. Currently, two models are available: a) Negative Binomial reduced rank regression (NB-RRR), b) Negative Binomial co-sparse factor regression (NB-FAR). Please refer the manuscript 'Mishra, A. K., & M
How to cite:
Aditya Mishra (2022). nbfar: Negative Binomial Factor Regression Models ('nbfar'). R package version 0.1, https://cran.r-project.org/web/packages/nbfar. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Complete documentation for nbfar
Functions, R codes and Examples using
the nbfar R package
Some associated functions: nbfar . nbfar_control . nbfar_sim . nbrrr .
Some associated R codes: RcppExports.R . misc.R . nbfar.R . Full nbfar package functions and examples
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