MNB: Diagnostic tools for a multivariate negative binomial model
In carrascojalmar/MNB: Diagnostic Tools for a Multivariate Negative Binomial Model
MNB R Documentation
Diagnostic tools for a multivariate negative binomial model
Description
Diagnostic tools as residual analysis, global, local and total-local influence
for the multivariate model from the random intercept Poisson-GlG mode. Including
also, the estimation process by maximum likelihood and generating multivariate
negative binomial data.
MNB package functions
-
rMNB
-
fit.MNB
-
qMNB
-
re.MNB
-
envelope.MNB
-
global.MNB
-
local.MNB
Author(s)
Jalmar M F Carrasco <carrascojalmar@gmail.com>,
Cristian M Villegas Lobos <master.villegas@gmail.com> and Lizandra C Fabio <lizandrafabio@gmail.com>
References
Fabio, L. C, Villegas, C. L., Carrasco, J. M. F. and de Castro, M. (2020). Diagnostic tools for a multivariate
negative binomial model for fitting correlated data with overdispersion. Submitted.
carrascojalmar/MNB documentation built on May 15, 2022, 4:41 a.m.
R Package Documentation
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| MNB | R Documentation |
Diagnostic tools for a multivariate negative binomial model
Description
Diagnostic tools as residual analysis, global, local and total-local influence for the multivariate model from the random intercept Poisson-GlG mode. Including also, the estimation process by maximum likelihood and generating multivariate negative binomial data.
MNB package functions
-
rMNB -
fit.MNB -
qMNB -
re.MNB -
envelope.MNB -
global.MNB -
local.MNB
Author(s)
Jalmar M F Carrasco <carrascojalmar@gmail.com>, Cristian M Villegas Lobos <master.villegas@gmail.com> and Lizandra C Fabio <lizandrafabio@gmail.com>
References
Fabio, L. C, Villegas, C. L., Carrasco, J. M. F. and de Castro, M. (2020). Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion. Submitted.
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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