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MGLM
View on CRAN: Click
here
Download and install MGLM package within the R console
Install from CRAN:
install.packages("MGLM")
Install from Github:
library("remotes")
install_github("cran/MGLM")
Install by package version:
library("remotes")
install_version("MGLM", "0.2.1")
Attach the package and use:
library("MGLM")
Maintained by
Juhyun Kim
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-09-25
Latest Update: 2022-04-13
Description:
Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.
How to cite:
Juhyun Kim (2013). MGLM: Multivariate Response Generalized Linear Models. R package version 0.2.1, https://cran.r-project.org/web/packages/MGLM
Previous versions and publish date:
Other packages that cited MGLM R package
View MGLM citation profile
Other R packages that MGLM depends,
imports, suggests or enhances
Functions, R codes and Examples using
the MGLM R package
Some associated functions: AIC . BIC . MGLM-deprecated . MGLM-package . MGLMfit-class . MGLMfit . MGLMreg-class . MGLMreg . MGLMsparsereg-class . MGLMsparsereg . MGLMtune-class . MGLMtune . coef . dirmn . dist . dof . gdirmn . kr . logLik . maxlambda . mn . negmn . path . pkg-internal . predict . rnaseq . show .
Some associated R codes: DMD.DM.R . DMD.GDM.R . DMD.MN.R . DMD.NegMN.R . MGLM-deprecated.R . MGLM-package.R . MGLMfit.R . MGLMgen.R . MGLMreg.R . MGLMsparsereg.R . MGLMtune.R . aaclasses.R . aagenerics.R . accessors.MGLMsparsereg.R . accessors.MGLMtune.R . bAIC.MGLM.R . coef.MGLM.R . kr.R . logLik.MGLM.R . pdfln.R . predict.MGLM.R . show.MGLM.R . Full MGLM package functions and examples
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