Introduction | The MM package | The package in use | Suggestions for further work | Conclusions
Package: MM 1.7-0
MM: The Multiplicative Multinomial Distribution
Various utilities for the Multiplicative Multinomial distribution.
Authors:
MM_1.7-0.tar.gz
MM_1.7-0.zip(r-4.7)MM_1.7-0.zip(r-4.6)MM_1.7-0.zip(r-4.5)
MM_1.7-0.tgz(r-4.6-any)MM_1.7-0.tgz(r-4.5-any)
MM_1.7-0.tar.gz(r-4.7-any)MM_1.7-0.tar.gz(r-4.6-any)
MM_1.7-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MM/json (API)
| # Install 'MM' in R: |
| install.packages('MM', repos = c('https://robinhankin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robinhankin/mm/issues
Datasets:
- danaher - Dataset due to Danaher
- met_area - Housing Dataset due to Wilson
- non_met - Housing Dataset due to Wilson
- Nvoting_tally - Synthetic dataset of voting behaviour due to Altham
- pollen - Pollen data from Mosimann 1962
- powell - Dataset due to Powell
- powell_counts - Dataset due to Powell
- skellam - Brassica Dataset due to Catcheside
- skellam_counts - Brassica Dataset due to Catcheside
- sweets - Synthetic dataset due to Hankin
- sweets_array - Synthetic dataset due to Hankin
- sweets_table - Synthetic dataset due to Hankin
- sweets_tally - Synthetic dataset due to Hankin
- voting - Synthetic dataset of voting behaviour due to Altham
- voting_tally - Synthetic dataset of voting behaviour due to Altham
Last updated from:901f4c6a18. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | OK | 127 | ||
| macos-release-arm64 | OK | 86 | ||
| macos-oldrel-arm64 | OK | 85 | ||
| windows-devel | OK | 106 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 64 | ||
| wasm-release | OK | 105 |
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:abindgmpmagicOarraypartitionspolynomquadformrbibutilsRdpacksets
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Multiplicative Multivariate distribution, and the Multivariate Multiplicative Binomial Distribution | MM-package |
| Dataset due to Danaher | danaher |
| Extract or Replace parameters of a 'paras' object | extract [,paras-method [.paras [<-,paras-method [<-.paras |
| Convert from multiple multivariate observations to tabular form | gunter 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 distribution | as.array.gunter_MB as.array.MB counts counts,MB-method getM getM,MB-method MB MB-class print.gunter_MB |
| Various multiplicative multinomial probability utilities | MM MM_allsamesum MM_allsamesum_A MM_differsums MM_differsums_A MM_single MM_support |
| Multinomial function | lmultinomial multinomial |
| Normalizing constant for the multiplicative multinomial | NormC |
| Maximum likelihood estimator for the MM | optimizer optimizer_allsamesum optimizer_differsums |
| Manipulate a paras object | getVals 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 1962 | pollen |
| Dataset due to Powell (1990) | Powell powell powell_counts |
| Random samples from the multiplicative multinomial | dMM rMM |
| Brassica Dataset due to Catcheside | Catcheside catcheside Skellam skellam skellam_counts |
| Sufficient statistics for the multiplicative multinomial | expected_suffstats print.suffstats print.summary.suffstats suffstats summary.suffstats |
| Synthetic dataset due to Hankin | sweets sweets_array sweets_table sweets_tally |
| Synthetic dataset of voting behaviour due to Altham | Nvoting_tally voting voting_tally |
| Housing Dataset due to Wilson | met_area non_met wilson |
