Package: MNB 1.1.0

MNB: Diagnostic Tools for a Multivariate Negative Binomial Model

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) <doi:10.1080/03610926.2021.1939380>.

Authors:Jalmar Carrasco [aut, cre], Cristian Lobos [aut], Lizandra Fabio [aut]

MNB_1.1.0.tar.gz
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MNB.pdf |MNB.html✨
MNB/json (API)

# Install 'MNB' in R:
install.packages('MNB', repos = c('https://carrascojalmar.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/carrascojalmar/mnb/issues

Datasets:

On CRAN:

3.54 score 213 downloads 7 mentions 7 exports 54 dependencies

Last updated 3 years agofrom:3b725b6f38. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winNOTENov 17 2024
R-4.5-linuxNOTENov 17 2024
R-4.4-winNOTENov 17 2024
R-4.4-macNOTENov 17 2024
R-4.3-winNOTENov 17 2024
R-4.3-macNOTENov 17 2024

Exports:envelope.MNBfit.MNBglobal.MNBlocal.MNBqMNBre.MNBrMNB

Dependencies:assertthatbbmlebdsmatrixBHclicolorspacecpp11data.tabledeSolvedplyrfansifarverfastGHQuadflexsurvgenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmstatemuhazmunsellmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr