Package: Countr 3.6.1

Georgi N. Boshnakov

Countr: Flexible Univariate Count Models Based on Renewal Processes

Flexible univariate count models based on renewal processes. The models may include covariates and can be specified with familiar formula syntax as in glm() and package 'flexsurv'. The methodology is described by Kharrat et all (2019) <doi:10.18637/jss.v090.i13> (included as vignette 'Countr_guide' in the package).

Authors:Tarak Kharrat [aut], Georgi N. Boshnakov [aut, cre]

Countr_3.6.1.tar.gz
Countr_3.6.1.zip(r-4.7-x86_64)Countr_3.6.1.zip(r-4.7-arm64)Countr_3.6.1.zip(r-4.6-x86_64)Countr_3.6.1.zip(r-4.6-arm64)
Countr_3.6.1.tar.gz(r-4.7-arm64)Countr_3.6.1.tar.gz(r-4.7-x86_64)Countr_3.6.1.tar.gz(r-4.6-arm64)Countr_3.6.1.tar.gz(r-4.6-x86_64)
Countr_3.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Countr/json (API)

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

Bug tracker:https://github.com/geobosh/countr/issues

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

4.71 score 1 stars 86 scripts 572 downloads 37 exports 87 dependencies

Last updated from:2c8f238498. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK196
linux-devel-x86_64OK271
source / vignettesOK290
linux-release-arm64OK189
linux-release-x86_64OK227
windows-devel-arm64OK328
windows-devel-x86_64OK267
windows-release-arm64OK306
windows-release-x86_64OK227
wasm-releaseOK130

Exports:addBootSampleObjectchiSq_gofchiSq_pearsoncompareToGLMcount_tableCountrFormuladBivariateWeibullCountFrankCopuladBivariateWeibullCountFrankCopula_loglikdCount_conv_bidCount_conv_loglik_bidCount_conv_loglik_userdCount_conv_userdmodifiedCount_bidRenewalFrankCopula_bidRenewalFrankCopula_userdWeibullCountdWeibullCount_loglikdWeibullgammaCountdWeibullgammaCount_loglikevCount_conv_bievCount_conv_userevWeibullCountevWeibullgammaCountfrequency_plotgetParNamesrenewalrenewal.controlrenewal.convParsrenewal.seriesParsrenewal.weiMethodrenewalCoefrenewalCoefListrenewalCountrenewalNamesresiduals_plotse.coefsurv

Dependencies:abindassertthatbackportsbbmlebdsmatrixbootbroomcarcarDataclicolorspacecowplotcpp11data.tableDerivdeSolvedoBydplyrfarverfastGHQuadflexsurvforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestlsodamagrittrMASSMatrixMatrixModelsmgcvminqamodelrmstatemuhazmvtnormnlmenloptrnnetnumDerivoptimxpbkrtestpillarpkgconfigpracmapsclpurrrquadprogquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstpm2S7scalesSparseMstandardizestatmodstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsVGAMviridisLitewithrzoo

Comparing performance of computational methods
Rendered fromComputationalPerformance.Rnwusingutils::Sweave

Last update: 2017-11-20
Started: 2017-11-20

Computation of variance-covariance matrix
Rendered fromVarianceCovariance.Rnwusingutils::Sweave

Last update: 2017-11-20
Started: 2017-11-20

Example with fertility data
Rendered fromexampleFertility.Rnwusingutils::Sweave

Last update: 2017-11-20
Started: 2017-11-20

Example with football data
Rendered fromexampleFootball.Rnwusingutils::Sweave

Last update: 2017-11-20
Started: 2017-11-20

Example with quine data
Rendered fromModelSelectionAndComparison.Rnwusingutils::Sweave

Last update: 2017-11-20
Started: 2017-11-20

Guide for package Countr
Rendered fromCountr_guide.Rnwusingutils::Sweave

Last update: 2017-11-20
Started: 2017-11-20

Readme and manuals

Help Manual

Help pageTopics
Flexible Univariate Count Models Based on Renewal ProcessesCountr-package Countr
Create a bootsrap sample for coefficient estimatesaddBootSampleObject
Formal Chi-square goodness-of-fit testchiSq_gof chiSq_gof.glm chiSq_gof.negbin chiSq_gof.renewal
Pearson Chi-Square testchiSq_pearson chiSq_pearson.glm chiSq_pearson.renewal
Compare renewals fit to glm models fitcompareToGLM
Summary of a count variablecount_table
Create a formula for renewalCountCountrFormula
Density and log-likelihood of the Bivariate Frank Copula Weibull Count modeldBivariateWeibullCountFrankCopula dBivariateWeibullCountFrankCopula_loglik
Compute count probabilities using convolutiondCount_conv_bi dCount_conv_user
Log-likelihood of a count probability computed by convolution (bi)dCount_conv_loglik_bi dCount_conv_loglik_user
Compute count probabilities based on modified renewal process (bi)dmodifiedCount_bi dmodifiedCount_user
Bivariate Count probability Using Frank copula (user)dRenewalFrankCopula_bi dRenewalFrankCopula_user
Probability calculations for Weibull count modelsdWeibullCount dWeibullCount_loglik evWeibullCount
Univariate Weibull Count Probability with gamma and covariate heterogeneitydWeibullgammaCount_mat_Covariates
Expected value and variance of a renewal count processevCount_conv_bi evCount_conv_user
Fertility datafertility
Football datafootball
Plot a frequency chartfrequency_plot
Return the names of distribution parametersgetParNames
Predict method for renewal objectspredict.renewal
Methods for renewal objectsaddBootSampleObject.renewal coef.renewal confint.renewal df.residual.renewal extractAIC.renewal fitted.renewal logLik.renewal model.matrix.renewal nobs.renewal print.renewal print.summary.renewal renewal_methods residuals.renewal residuals_plot.renewal summary.renewal vcov.renewal
Get named vector of coefficients for renewal objectsrenewalCoef
Split a vector using the prefixes of the names for groupingrenewalCoefList
Fit renewal count processes regression modelsrenewalCount
Get names of parameters of renewal regression modelsrenewalNames
Method to visualise the residualsresiduals_plot
Extract Standard Errors of Model Coefficientsse.coef se.coef.renewal
Wrapper to built-in survival functionssurv