R: Flexible Univariate Count Models Based on Renewal Processes

# Flexible Univariate Count Models Based on Renewal Processes

## Documentation for package ‘Countr’ version 3.6.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

Countr-package | Flexible Univariate Count Models Based on Renewal Processes
addBootSampleObject | Create a bootsrap sample for coefficient estimates
addBootSampleObject.renewal | Methods for renewal objects
chiSq_gof | Formal Chi-square goodness-of-fit test
chiSq_gof.glm | Formal Chi-square goodness-of-fit test
chiSq_gof.negbin | Formal Chi-square goodness-of-fit test
chiSq_gof.renewal | Formal Chi-square goodness-of-fit test
chiSq_pearson | Pearson Chi-Square test
chiSq_pearson.glm | Pearson Chi-Square test
chiSq_pearson.renewal | Pearson Chi-Square test
coef.renewal | Methods for renewal objects
compareToGLM | Compare renewals fit to glm models fit
confint.renewal | Methods for renewal objects
Countr | Flexible Univariate Count Models Based on Renewal Processes
CountrFormula | Create a formula for renewalCount
count_table | Summary of a count variable
dBivariateWeibullCountFrankCopula | Density and log-likelihood of the Bivariate Frank Copula Weibull Count model
dBivariateWeibullCountFrankCopula_loglik | Density and log-likelihood of the Bivariate Frank Copula Weibull Count model
dCount_conv_bi | Compute count probabilities using convolution
dCount_conv_loglik_bi | Log-likelihood of a count probability computed by convolution (bi)
dCount_conv_loglik_user | Log-likelihood of a count probability computed by convolution (bi)
dCount_conv_user | Compute count probabilities using convolution
df.residual.renewal | Methods for renewal objects
dmodifiedCount_bi | Compute count probabilities based on modified renewal process (bi)
dmodifiedCount_user | Compute count probabilities based on modified renewal process (bi)
dRenewalFrankCopula_bi | Bivariate Count probability Using Frank copula (user)
dRenewalFrankCopula_user | Bivariate Count probability Using Frank copula (user)
dWeibullCount | Probability calculations for Weibull count models
dWeibullCount_loglik | Probability calculations for Weibull count models
dWeibullgammaCount_mat_Covariates | Univariate Weibull Count Probability with gamma and covariate heterogeneity
evCount_conv_bi | Expected value and variance of a renewal count process
evCount_conv_user | Expected value and variance of a renewal count process
evWeibullCount | Probability calculations for Weibull count models
extractAIC.renewal | Methods for renewal objects
fertility | Fertility data
fitted.renewal | Methods for renewal objects
football | Football data
frequency_plot | Plot a frequency chart
getParNames | Return the names of distribution parameters
logLik.renewal | Methods for renewal objects
model.matrix.renewal | Methods for renewal objects
nobs.renewal | Methods for renewal objects
predict.renewal | Predict method for renewal objects
print.renewal | Methods for renewal objects
print.summary.renewal | Methods for renewal objects
renewalCoef | Get named vector of coefficients for renewal objects
renewalCoefList | Split a vector using the prefixes of the names for grouping
renewalCount | Fit renewal count processes regression models
renewalNames | Get names of parameters of renewal regression models
renewal_methods | Methods for renewal objects
residuals.renewal | Methods for renewal objects
residuals_plot | Method to visualise the residuals
residuals_plot.renewal | Methods for renewal objects
se.coef | Extract Standard Errors of Model Coefficients
se.coef.renewal | Extract Standard Errors of Model Coefficients
summary.renewal | Methods for renewal objects
surv | Wrapper to built-in survival functions
vcov.renewal | Methods for renewal objects