Package: countDM 0.1.0
countDM: Estimation of Count Data Models
The maximum likelihood estimation (MLE) of the count data models along with standard error of the estimates and Akaike information model section criterion are provided. The functions allow to compute the MLE for the following distributions such as the Bell distribution, the Borel distribution, the Poisson distribution, zero inflated Bell distribution, zero inflated Bell Touchard distribution, zero inflated Poisson distribution, zero one inflated Bell distribution and zero one inflated Poisson distribution. Moreover, the probability mass function (PMF), distribution function (CDF), quantile function (QF) and random numbers generation of the Bell Touchard and zero inflated Bell Touchard distribution are also provided.
Authors:
countDM_0.1.0.tar.gz
countDM_0.1.0.zip(r-4.5)countDM_0.1.0.zip(r-4.4)countDM_0.1.0.zip(r-4.3)
countDM_0.1.0.tgz(r-4.4-any)countDM_0.1.0.tgz(r-4.3-any)
countDM_0.1.0.tar.gz(r-4.5-noble)countDM_0.1.0.tar.gz(r-4.4-noble)
countDM_0.1.0.tgz(r-4.4-emscripten)countDM_0.1.0.tgz(r-4.3-emscripten)
countDM.pdf |countDM.html✨
countDM/json (API)
| # Install 'countDM' in R: |
| install.packages('countDM', repos = c('https://imranshakoor.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:ecda14e010. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:bell_mledata_criminaldata_sbirthdbelltdzibelltmle_borelmle_btmle_poissonmle_zibellmle_zibelltmle_zipmle_zoibellmle_zoipmle.bellpbelltpzibelltqbelltqzibelltrbelltrzibelltTP
Dependencies:digestgenericslamWlatticemaxLikmiscToolsnumbersRcppRcppParallelsandwichzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimation of Count Data Models | countDM-package countDM |
| MLE of the Bell distribtion | bell_mle mle.bell |
| PMF, CDF, QF, random generation and parameters estimation based on the Bell Touchard distribution | dbellt mle_bt pbellt qbellt rbellt |
| MLE of the Borel distribution | mle_borel |
| The crime sociology consisting a sample of 4301 people with deviating behavior | data_criminal |
| MLE of the Poisson distribution | mle_poisson |
| Still births of New Zealand white rabbits | data_sbirth |
| Touchard polynomials | TP |
| MLE of the zero inflated Bell distribtion | mle_zibell |
| MLE of the zero inflated Bell Touchard distribution | dzibellt mle_zibellt pzibellt qzibellt rzibellt |
| MLE of the zero inflated Poisson distribtion | mle_zip |
| MLE of the zero one inflated Bell distrubution | mle_zoibell |
| MLE of the zero one inflated Poisson distrubution | mle_zoip |
