R: Diagnostics and Models for Underdispersed Count Data

# Diagnostics and Models for Underdispersed Count Data

## Documentation for package ‘underdisp’ version 0.1.0

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

## Help Pages

A C D F G H I M P Q R S T U V Z

## -- A --

alpha_confint | Profile-likelihood interval for the dispersion parameter alpha
augment.cpb | Augment data with CPB fitted values (broom method)

## -- C --

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

## -- D --

dcompois | Conway-Maxwell-Poisson distribution functions
dcpb | Continuous parameter binomial distribution functions
dgec | Generalized event count (Katz) distribution functions

## -- F --

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

## -- G --

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)

## -- H --

hurdle_count | Hurdle Poisson / negative-binomial regression (matched CPB baseline)
hurdle_cpb | Hurdle continuous parameter binomial regression
hurdle_gec | Hurdle GEC (Katz-family) regression

## -- I --

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

## -- M --

mundlak | Mundlak (correlated random effects) device

## -- P --

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

## -- Q --

qcompois | Conway-Maxwell-Poisson distribution functions
qcpb | Continuous parameter binomial distribution functions
qgec | Generalized event count (Katz) distribution functions

## -- R --

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

## -- S --

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

## -- T --

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)

## -- U --

ud_screen | Screen a count outcome for underdispersion

## -- V --

vcov.cpb_fe | Bootstrap covariance for a fixed-effects CPB fit

## -- Z --

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)