Package: convdistr 1.6.3

convdistr: Convolute Probabilistic Distributions

Convolute probabilistic distributions using the random generator function of each distribution. A new random number generator function is created that perform the mathematical operation on the individual random samples from the random generator function of each distribution. See the documentation for examples.

Authors:Aponte John [aut, cre]

convdistr_1.6.3.tar.gz
convdistr_1.6.3.zip(r-4.7-any)convdistr_1.6.3.zip(r-4.6-any)convdistr_1.6.3.zip(r-4.5-any)
convdistr_1.6.3.tgz(r-4.6-any)convdistr_1.6.3.tgz(r-4.5-any)
convdistr_1.6.3.tar.gz(r-4.7-any)convdistr_1.6.3.tar.gz(r-4.6-any)
convdistr_1.6.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
convdistr/json (API)

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

Bug tracker:https://github.com/johnaponte/convdistr/issues

Pkgdown/docs site:https://johnaponte.github.io

On CRAN:

Conda:

4.38 score 2 stars 12 scripts 380 downloads 45 exports 148 dependencies

Last updated from:2041d2a1c0. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE205
source / vignettesOK246
linux-releaseNOTE203
macos-releaseNOTE180
macos-oldrelNOTE242
windows-develNOTE121
windows-releaseNOTE134
windows-oldrelNOTE119
wasm-releaseOK165

Exports:add_totalDISTRIBUTION_factoryfitbetafitbeta_mlfitdirichletggDISTRIBUTIONmetadatanew_BETAnew_BETA_lcinew_BETA_lci2new_BETABINOMIALnew_BETABINOMIAL_iccnew_BETABINOMIAL_odnew_BINOMIALnew_CONVOLUTIONnew_CONVOLUTION_assocnew_CONVOLUTION_combnew_DIRACnew_DIRICHLETnew_DISCRETEnew_DIVISIONnew_DIVISION_assocnew_DIVISION_combnew_EXPONENTIALnew_LOGNORMALnew_MIXTUREnew_MULTINORMALnew_MULTIPLICATIONnew_MULTIPLICATION_assocnew_MULTIPLICATION_combnew_NAnew_NORMALnew_POISSONnew_SUBTRACTIONnew_SUBTRACTION_assocnew_SUBTRACTION_combnew_SUMnew_SUM_assocnew_SUM_combnew_TRIANGULARnew_TRUNCATEDnew_UNIFORMrestrict_environmentrfuncset_seed

Dependencies:abindassertthatbackportsbase64encbbmlebdsmatrixbootbroombslibcachemcarcarDatacheckmatecliclustercolorspacecolourpickercommonmarkcorrplotcowplotcpp11curldata.tableDerivdeSolvedigestdoBydplyrevaluateexactRankTestsextraDistrfarverfastGHQuadfastmapflexsurvfontawesomeforecastforeignFormulafracdifffsgenericsggExtraggplot2ggpubrggrepelggridgesggsciggsignifggtextgluegridExtragridtextgtablehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelifecyclelitedownlme4lmtestlsodamagrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmimeminiUIminqamnormtmodelrmstatemuhazmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpngpolynompromisespurrrquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownrpartrstatixrstpm2rstudioapiS7sassscalesSHELFshinyshinyjsshinyMatrixsnsourcetoolsSparseMstatmodstringistringrsurvivalsurvminertibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunxml2xtableyamlzoo

Using the convdistr package
Practical example | Description of the DISTRIBUTION object | Factory of DISTRIBUTION objects | Methods | Convolution for Distribution with the same dimensions | Mixture | Convolution of distributions with different dimensions
Rendered fromusing-convdistr.Rmdusingknitr::rmarkdown

Last update: 2019-07-12
Started: 2018-10-30

Sample size with Uncertainty
Introduction | Sample size for a proportion | A new DISTRIBUTION factory | Using the Sample Size object | Enhance the Sample Size object
Rendered fromsample_size.Rmdusingknitr::rmarkdown

Last update: 2019-07-12
Started: 2018-11-09

Readme and manuals

Help Manual

Help pageTopics
Adds a total dimensionadd_total
Factory for a BETA distribution objectBETA new_BETA new_BETA_lci new_BETA_lci2
Factory for a BETABINOMIAL distribution objectBETABINOMIAL new_BETABINOMIAL new_BETABINOMIAL_icc new_BETABINOMIAL_od
Factory for a BINOMIAL distribution objectBINOMIAL new_BINOMIAL
cinqnumcinqnum cinqnum.DIRAC cinqnum.DISTRIBUTION cinqnum.NA
Make the convolution of two or more 'DISTRIBUTION' objects*.DISTRIBUTION +.DISTRIBUTION -.DISTRIBUTION /.DISTRIBUTION CONVOLUTION new_CONVOLUTION new_DIVISION new_MULTIPLICATION new_SUBTRACTION new_SUM
Convolution with association of dimensionsCONVOLUTION_assoc new_CONVOLUTION_assoc new_DIVISION_assoc new_MULTIPLICATION_assoc new_SUBTRACTION_assoc new_SUM_assoc
Convolution with combination of dimensionsCONVOLUTION_comb new_CONVOLUTION_comb new_DIVISION_comb new_MULTIPLICATION_comb new_SUBTRACTION_comb new_SUM_comb
Factory for a DIRAC distribution objectDIRAC new_DIRAC
Factory for a DIRICHLET distribution objectDIRICHLET new_DIRICHLET
Factory for a DISCRETE distribution objectDISCRETE new_DISCRETE
DISTRIBUTION classDISTRIBUTION
A factory of 'DISTRIBUTION' classesDISTRIBUTION_factory
Factory for a EXPONENTIAL distribution using confidence intervalsEXPONENTIAL new_EXPONENTIAL
Fits a beta distribution based on quantilesfitbeta fitbeta_ml
Fits a Dirichlet distribution,fitdirichlet
Plot of 'DISTRIBUTION' objects using 'ggplot2'ggDISTRIBUTION
Factory for a LOGNORMAL distribution objectLOGNORMAL new_LOGNORMAL
Metadata for a DISTRIBUTIONmetadata metadata.default metadata.DISTRIBUTION
Factory for a NA distribution objectNA_DISTRIBUTION new_NA
Mixture of 'DISTRIBUTION' objectsnew_MIXTURE
Multivariate Normal Distributionnew_MULTINORMAL
Factory for a NORMAL distribution objectnew_NORMAL NORMAL
Omit 'NA' distributions from a list of distributionsomit_NA
plot of 'DISTRIBUTION' objectsplot.DISTRIBUTION
Factory for a POISSON distribution using confidence intervalsnew_POISSON POISSON
Build a new function with a smaller environmentrestrict_environment
Generate random numbers from a 'DISTRIBUTION' objectrfunc
Default functionrfunc.default
Generic function for a 'DISTRIBUTION' objectrfunc.DISTRIBUTION
Check the dimensions of a list of distributionssame_dimensions
Modify a the seed of a Distribution objectset_seed
Summary of Distributionssummary.DISTRIBUTION
Factory for a TRIANGULAR distribution objectnew_TRIANGULAR TRIANGULAR
Factory for a TRUNCATED distribution objectnew_TRUNCATED TRUNCATED
Factory for a UNIFORM distribution objectnew_UNIFORM UNIFORM