Package: MM 1.6-8

MM: The Multiplicative Multinomial Distribution

Various utilities for the Multiplicative Multinomial distribution.

Authors:Robin K. S. Hankin and P. M. E. Altham

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MM.pdf |MM.html✨
MM/json (API)

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

Peer review:

Bug tracker:https://github.com/robinhankin/mm/issues

Datasets:

On CRAN:

39 exports 6.20 score 11 dependencies 314 mentions 22 scripts 1.1k downloads

Last updated 4 months agofrom:42169a9636. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:as.array.gunter_MBas.array.MBcountsdMMexpected_suffstatsgetMgetValsgunterLindseyLindsey_MBlmultinomialMBMMMM_allsamesumMM_allsamesum_AMM_differsumsMM_differsums_AMM_singleMM_supportmultinomialNormCoptimizeroptimizer_allsamesumoptimizer_differsumspp<-paraspnamespnames<-print.gunterprint.gunter_MBprint.Lindsey_outputprint.suffstatsprint.summary.suffstatsrMMsuffstatssummary.suffstatsthetatheta<-

Dependencies:abindgmpmagicmathjaxrOarraypartitionspolynomquadformrbibutilsRdpacksets

The Multiplicative Multinomial distribution

Rendered fromMM.Rnwusingutils::Sweaveon Sep 02 2024.

Last update: 2024-05-16
Started: 2023-08-22

Readme and manuals

Help Manual

Help pageTopics
The Multiplicative Multivariate distribution, and the Multivariate Multiplicative Binomial DistributionMM-package
Dataset due to Danaherdanaher
Extract or Replace parameters of a 'paras' objectextract [,paras-method [.paras [<-,paras-method [<-.paras
Convert from multiple multivariate observations to tabular formgunter gunter,data.frame-method gunter,matrix-method gunter,MB-method gunter,Oarray-method print.gunter
The Poisson device of Lindsey and Mersch (1992).bioChemists Lindsey Lindsey_MB print.Lindsey_output
Multivariate multiplicative binomial distributionas.array.gunter_MB as.array.MB counts counts,MB-method getM getM,MB-method MB MB-class print.gunter_MB
Various multiplicative multinomial probability utilitiesMM MM_allsamesum MM_allsamesum_A MM_differsums MM_differsums_A MM_single MM_support
Multinomial functionlmultinomial multinomial
Normalizing constant for the multiplicative multinomialNormC
Maximum likelihood estimator for the MMoptimizer optimizer_allsamesum optimizer_differsums
Manipulate a paras objectgetVals getVals,paras-method length,paras-method p p,paras-method p<- p<-,paras-method paras paras-class pnames pnames,MB-method pnames,paras-method pnames<- pnames<-,MB-method pnames<-,paras-method theta theta,paras-method theta<- theta<-,paras-method
Pollen data from Mosimann 1962pollen
Dataset due to Powell (1990)Powell powell powell_counts
Random samples from the multiplicative multinomialdMM rMM
Brassica Dataset due to CatchesideCatcheside catcheside Skellam skellam skellam_counts
Sufficient statistics for the multiplicative multinomialexpected_suffstats print.suffstats print.summary.suffstats suffstats summary.suffstats
Synthetic dataset due to Hankinsweets sweets_array sweets_table sweets_tally
Synthetic dataset of voting behaviour due to AlthamNvoting_tally voting voting_tally
Housing Dataset due to Wilsonmet_area non_met wilson