A C D F G H I M P Q R S T U V Z
| alpha_confint | Profile-likelihood interval for the dispersion parameter alpha |
| augment.cpb | Augment data with CPB fitted values (broom method) |
| compare_dispersion | Compare count-model dispersion across the model family |
| compare_models | Compare fitted underdispersed-count models |
| compois-distribution | Conway-Maxwell-Poisson distribution functions |
| confint.cpb | Confidence intervals for a CPB fit |
| count_reg | Poisson and negative-binomial count regression (matched CPB baselines) |
| cpb | Fit a Continuous Parameter Binomial (CPB) regression |
| cpb-distribution | Continuous parameter binomial distribution functions |
| cpb_fe | CPB regression with high-dimensional unit fixed effects |
| cv_score | Cross-validated proper scores for a count model |
| dcompois | Conway-Maxwell-Poisson distribution functions |
| dcpb | Continuous parameter binomial distribution functions |
| dgec | Generalized event count (Katz) distribution functions |
| first_difference | King-style first difference for a CPB fit |
| first_difference.count | First differences for the matched count families |
| first_difference.count_reg | First differences for the matched count families |
| first_difference.cpb | King-style first difference for a CPB fit |
| first_difference.cpb_fe | First differences for the matched count families |
| first_difference.gec | First differences for the matched count families |
| first_difference.gec_fe | First differences for the matched count families |
| first_difference.hurdle_count | First differences for the matched count families |
| first_difference.hurdle_cpb | Extensive/intensive first-difference decomposition for a hurdle- or ZI-CPB |
| first_difference.hurdle_gec | First differences for the matched count families |
| first_difference.zi_count | First differences for the matched count families |
| first_difference.zi_cpb | Extensive/intensive first-difference decomposition for a hurdle- or ZI-CPB |
| first_difference.zi_gec | First differences for the matched count families |
| fitted.cpb_fe | Fitted means for the two-part and fixed-effects classes |
| fitted.hurdle_count | Fitted means for the two-part and fixed-effects classes |
| fitted.hurdle_cpb | Fitted means for the two-part and fixed-effects classes |
| fitted.hurdle_gec | Fitted means for the two-part and fixed-effects classes |
| fitted.underdisp | Fitted means for the two-part and fixed-effects classes |
| fitted.zi_count | Fitted means for the two-part and fixed-effects classes |
| fitted.zi_cpb | Fitted means for the two-part and fixed-effects classes |
| fitted.zi_gec | Fitted means for the two-part and fixed-effects classes |
| gec | Generalized event count (Katz-family) regression |
| gec-distribution | Generalized event count (Katz) distribution functions |
| gec_fe | GEC (Katz-family) regression with high-dimensional unit fixed effects |
| glance.count_reg | Glance at a CPB fit (broom method) |
| glance.cpb | Glance at a CPB fit (broom method) |
| glance.cpb_fe | Glance at a CPB fit (broom method) |
| glance.gec | Glance at a CPB fit (broom method) |
| glance.hurdle_count | Glance at a CPB fit (broom method) |
| glance.hurdle_cpb | Glance at a CPB fit (broom method) |
| glance.hurdle_gec | Glance at a CPB fit (broom method) |
| glance.zi_count | Glance at a CPB fit (broom method) |
| glance.zi_cpb | Glance at a CPB fit (broom method) |
| glance.zi_gec | Glance at a CPB fit (broom method) |
| hurdle_count | Hurdle Poisson / negative-binomial regression (matched CPB baseline) |
| hurdle_cpb | Hurdle continuous parameter binomial regression |
| hurdle_gec | Hurdle GEC (Katz-family) regression |
| implied_ceiling | Implied ceiling with a profile-likelihood interval |
| implied_ceiling.cpb | Implied ceiling with a profile-likelihood interval |
| irr | Incidence rate ratios for a CPB fit |
| irr.count | Rate and odds ratios for the matched count families |
| irr.count_reg | Rate and odds ratios for the matched count families |
| irr.cpb | Incidence rate ratios for a CPB fit |
| irr.cpb_fe | Rate and odds ratios for the matched count families |
| irr.gec | Rate and odds ratios for the matched count families |
| irr.gec_fe | Rate and odds ratios for the matched count families |
| irr.hurdle_count | Rate and odds ratios for the matched count families |
| irr.hurdle_gec | Rate and odds ratios for the matched count families |
| irr.zi_count | Rate and odds ratios for the matched count families |
| irr.zi_gec | Rate and odds ratios for the matched count families |
| mundlak | Mundlak (correlated random effects) device |
| pcompois | Conway-Maxwell-Poisson distribution functions |
| pcpb | Continuous parameter binomial distribution functions |
| peacekeeping | UN peacekeeping contributions, state-years |
| pgec | Generalized event count (Katz) distribution functions |
| pit_hist | Non-randomized PIT histogram for a fitted count model |
| predict.count_reg | Predictions from a matched Poisson/NB/COM-Poisson fit |
| predict.cpb | Predictions from a CPB fit |
| predict.cpb_fe | Predictions from a fixed-effects CPB fit |
| predict.gec | Predictions from a generalized event count fit |
| predict.hurdle_count | Predict from a hurdle Poisson/NB fit |
| predict.hurdle_cpb | Predict from a hurdle-CPB fit |
| predict.hurdle_gec | Predict from a hurdle-GEC fit |
| predict.zi_count | Predict from a zero-inflated Poisson/NB fit |
| predict.zi_cpb | Predict from a zi_cpb fit |
| predict.zi_gec | Predict from a zi_gec fit |
| qcompois | Conway-Maxwell-Poisson distribution functions |
| qcpb | Continuous parameter binomial distribution functions |
| qgec | Generalized event count (Katz) distribution functions |
| rcompois | Conway-Maxwell-Poisson distribution functions |
| rcpb | Simulate from the continuous parameter binomial |
| rgec | Generalized event count (Katz) distribution functions |
| rhurdle_cpb | Simulate from the hurdle continuous parameter binomial |
| rootogram | Hanging rootogram for a fitted count model |
| rzicpb | Simulate from the zero-inflated continuous parameter binomial |
| score | Proper scoring rules for a fitted count model |
| simulate.count_reg | Simulate responses from a fitted underdisp model |
| simulate.cpb | Simulate responses from a fitted underdisp model |
| simulate.cpb_fe | Simulate responses from a fitted underdisp model |
| simulate.gec | Simulate responses from a fitted underdisp model |
| simulate.hurdle_count | Simulate responses from a fitted underdisp model |
| simulate.hurdle_cpb | Simulate responses from a fitted underdisp model |
| simulate.hurdle_gec | Simulate responses from a fitted underdisp model |
| simulate.underdisp | Simulate responses from a fitted underdisp model |
| simulate.zi_count | Simulate responses from a fitted underdisp model |
| simulate.zi_cpb | Simulate responses from a fitted underdisp model |
| simulate.zi_gec | Simulate responses from a fitted underdisp model |
| summary.cpb | Summarize a CPB fit |
| tidy.count_reg | Tidy a CPB fit (broom method) |
| tidy.cpb | Tidy a CPB fit (broom method) |
| tidy.cpb_fe | Tidy a CPB fit (broom method) |
| tidy.gec | Tidy a CPB fit (broom method) |
| tidy.hurdle_count | Tidy a CPB fit (broom method) |
| tidy.hurdle_cpb | Tidy a CPB fit (broom method) |
| tidy.hurdle_gec | Tidy a CPB fit (broom method) |
| tidy.zi_count | Tidy a CPB fit (broom method) |
| tidy.zi_cpb | Tidy a CPB fit (broom method) |
| tidy.zi_gec | Tidy a CPB fit (broom method) |
| ud_screen | Screen a count outcome for underdispersion |
| vcov.cpb_fe | Bootstrap covariance for a fixed-effects CPB fit |
| zi_count | Zero-inflated Poisson / negative-binomial regression (matched CPB baseline) |
| zi_cpb | Zero-inflated continuous parameter binomial regression |
| zi_gec | Zero-inflated GEC (Katz-family) regression |
| zi_test | Boundary-corrected test for zero-inflation (CPB vs ZI-CPB) |