Function reference • Countr

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

Reference

Countr overview

Main function

Supporting functions for renewalCount()

Methods for fitted renewal models

Datasets

Probability distributions

Other