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MNB  

Diagnostic Tools for a Multivariate Negative Binomial Regression Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MNB", "1.2.0")



Attach the package and use:
library("MNB")
Maintained by
Jalmar Carrasco
[Scholar Profile | Author Map]
First Published: 2021-02-18
Latest Update: 2022-04-22
Description:
Diagnostic tools as residual analysis, global, local and total-local influence for the multivariate model from the random intercept Poisson generalized log gamma model are available in this package. Including also, the estimation process by maximum likelihood method, for details see Fabio, L. F; Villegas, C. L.; Carrasco, J.M.F and de Castro, M. (2021) .
How to cite:
Jalmar Carrasco (2021). MNB: Diagnostic Tools for a Multivariate Negative Binomial Regression Model. R package version 1.2.0, https://cran.r-project.org/web/packages/MNB. Accessed 08 May. 2025.
Previous versions and publish date:
1.0.0 (2021-02-18 11:40), 1.1.0 (2022-04-22 15:00)
Other packages that cited MNB R package
View MNB citation profile
Other R packages that MNB depends, imports, suggests or enhances
Complete documentation for MNB
Functions, R codes and Examples using the MNB R package
Some associated functions: MNB . alzheimer . envelope.MNB . fit.MNB . global.MNB . local.MNB . qMNB . rMNB . re.MNB . seizures . 
Some associated R codes: Local.R . MNB.R . enveSim.R . estimate.R . global.R . qMNB.R . rMNB.R . residual.R .  Full MNB package functions and examples
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