MGLM-package: MGLM: A package for multivariate response generalized linear...
In MGLM: Multivariate Response Generalized Linear Models
MGLM-package R Documentation
MGLM: A package for multivariate response generalized linear models
Description
The package 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.
Details
Package: MGLM
Type: Package
Version: 0.0.9
Date: 2017-12-14
License: GPL (>= 2)
Depends: R (>= 3.0.0), methods, stats, parallel
Author(s)
Yiwen Zhang and Hua Zhou
MGLM documentation built on April 14, 2022, 1:07 a.m.
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| MGLM-package | R Documentation |
MGLM: A package for multivariate response generalized linear models
Description
The package 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.
Details
| Package: | MGLM |
| Type: | Package |
| Version: | 0.0.9 |
| Date: | 2017-12-14 |
| License: | GPL (>= 2) |
| Depends: | R (>= 3.0.0), methods, stats, parallel |
Author(s)
Yiwen Zhang and Hua Zhou
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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