Package: DiscreteDists 1.1.2

DiscreteDists: Discrete Statistical Distributions
Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.
Authors:
DiscreteDists_1.1.2.tar.gz
DiscreteDists_1.1.2.zip(r-4.7)DiscreteDists_1.1.2.zip(r-4.6)DiscreteDists_1.1.2.zip(r-4.5)
DiscreteDists_1.1.2.tgz(r-4.6-x86_64)DiscreteDists_1.1.2.tgz(r-4.6-arm64)DiscreteDists_1.1.2.tgz(r-4.5-x86_64)DiscreteDists_1.1.2.tgz(r-4.5-arm64)
DiscreteDists_1.1.2.tar.gz(r-4.7-arm64)DiscreteDists_1.1.2.tar.gz(r-4.7-x86_64)DiscreteDists_1.1.2.tar.gz(r-4.6-arm64)DiscreteDists_1.1.2.tar.gz(r-4.6-x86_64)
DiscreteDists_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DiscreteDists/json (API)
NEWS
| # Install 'DiscreteDists' in R: |
| install.packages('DiscreteDists', repos = c('https://fhernanb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fhernanb/discretedists/issues
- grazing - Grazing dataset
Last updated from:616a74a5c6. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 166 | ||
| linux-devel-x86_64 | NOTE | 180 | ||
| source / vignettes | OK | 246 | ||
| linux-release-arm64 | NOTE | 171 | ||
| linux-release-x86_64 | NOTE | 177 | ||
| macos-release-arm64 | NOTE | 146 | ||
| macos-release-x86_64 | NOTE | 395 | ||
| macos-oldrel-arm64 | NOTE | 124 | ||
| macos-oldrel-x86_64 | NOTE | 325 | ||
| windows-devel | NOTE | 154 | ||
| windows-release | NOTE | 185 | ||
| windows-oldrel | NOTE | 168 | ||
| wasm-release | OK | 165 |
Exports:addARBerGCOMPOCOMPO2dBerGDBHdCOMPOdCOMPO2dDBHdDGEIIdDIKUMdDLDdDMOLBEdDPERKSdDsPADGEIIdGGEOdHYPERPOdHYPERPO2DIKUMDLDDMOLBEdNPGLdNPGL2DPERKSdPOISXLdPTRTEDsPAestim_mu_DBHestim_mu_DLDestim_mu_POISXLestim_mu_sigma_COMPOestim_mu_sigma_DGEIIestim_mu_sigma_DIKUMestim_mu_sigma_DMOLBEestim_mu_sigma_DPERKSestim_mu_sigma_DsPAestim_mu_sigma_GGEOestim_mu_sigma_HYPERPOestim_mu_sigma_HYPERPO2estim_mu_sigma_NPGLestim_mu_sigma_NPGL_MMestim_mu_sigma_NPGL2estim_mu_sigma_PTRTEF11GGEOHYPERPOHYPERPO2logLik_DBHlogLik_DGEIIlogLik_DIKUMlogLik_DLDlogLik_DMOLBElogLik_DPERKSlogLik_DsPAlogLik_GGEOlogLik_HYPERPOlogLik_HYPERPO2logLik_NPGLlogLik_NPGL2logLik_POISXLmean_var_hpmean_var_hp2NPGLNPGL2obtaining_lambdapBerGpCOMPOpCOMPO2pDBHpDGEIIpDIKUMpDLDpDMOLBEpDPERKSpDsPApGGEOpHYPERPOpHYPERPO2plot_discrete_cdfpNPGLpNPGL2POISXLpPOISXLpPTRTEPTRTEqBerGqCOMPOqCOMPO2qDBHqDGEIIqDIKUMqDLDqDMOLBEqDPERKSqDsPAqGGEOqHYPERPOqHYPERPO2qNPGLqNPGL2qPOISXLqPTRTErBerGrCOMPOrCOMPO2rDBHrDGEIIrDIKUMrDLDrDMOLBErDPERKSrDsPArGGEOrHYPERPOrHYPERPO2rNPGLrNPGL2rPOISXLrPTRTEsimulate_hpstopping
Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspaceCOMPoissonRegCOUNTcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgamlssgamlss.datagamlss.distgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmsmenleqslvnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpracmapurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
