Flexible univariate count models based on renewal processes. The models may include covariates and can be specified with familiar formula syntax as in glm().
|Author||Tarak Kharrat, Georgi N. Boshnakov|
|Date of publication||2016-12-20 13:02:04|
|Maintainer||Tarak Kharrat <email@example.com>|
|License||GPL (>= 2)|
addBootSampleObject.renewal: Create a bootsrap sample for coefficient estimates
alphagen: Matrix of alpha terms
dCount_allProbs_bi: Compute count probabilities using simple convolution
dCount_conv_bi: Compute count probabilities using convolution
dCount_conv_loglik_bi: Log-likelihood of a count probability computed by convolution...
dCount_dePril_bi: Compute count probabilities using dePril convolution (bi)
dCount_naive_bi: Compute count probabilities using naive convolution (bi)
dmodifiedCount_bi: Compute count probabilities based on modified renewal process...
dWeibullCount: Probability calculations for Weibull count models
dWeibullCount_mat: Univariate Weibull Count Probability
dWeibullgammaCount: Fast Univariate Weibull Count Probability with gamma...
dWeibullgammaCount_mat: Univariate Weibull Count Probability with gamma heterogeneity
dWeibullgammaCount_mat_Covariates: Univariate Weibull Count Probability with gamma and covariate...
evCount_conv_bi: Expected value and variance of renewal count process
fertility: fertility data
getParNames: return the name of the distribution parameters
predict.renewal: Predict method for renewal objects
renewal: Fit renewal count processes regression models
renewal.control: Creates the renewal control list
renewal.convPars: Creates the convolution inputs setting
renewal_methods: Methods for renewal objects
renewal.seriesPars: Creates the series expansion inputs setting
renewal.weiMethod: Check weibull computation algorithm
se.coef: Extract Standard Errors of Model Coefficients
surv: Wrapper to built in survival functions