Package index • uncounted

All functions

bootstrap_popsize(): Bootstrap Confidence Intervals for Population Size
bread(<uncounted>): Bread matrix for sandwich estimator
compare_loo(): Compare LOO Results from Two Models
compare_models(): Compare multiple uncounted models
compare_popsize(): Compare Population Size Across Models
deviance(<uncounted>): Deviance for uncounted models
dfbeta(<uncounted>): Leave-One-Out Influence on Coefficients
dfpopsize(): Leave-One-Out Influence on Population Size
estfun(<uncounted>): Empirical estimating functions (score contributions)
estimate_hidden_pop(): Estimate the Size of an Unauthorized Migrant Population
glance(<uncounted>): Glance at an uncounted model
hatvalues(<uncounted>): Hat values (leverage)
irregular_migration: Irregular migration data for Poland (2019–2024)
logLik(<uncounted>): Log-Likelihood for uncounted models
loo(): Leave-One-Out Sensitivity Analysis
lrtest(): Likelihood ratio test for nested uncounted models
model.matrix(<uncounted>): Extract model matrix
nobs(<uncounted>): Number of observations for uncounted models
plot(<uncounted>): Diagnostic plots for uncounted models
plot(<uncounted_loo>): Plot LOO Sensitivity Results
plot(<uncounted_loo_compare>): Plot LOO Comparison: Scatter and Barplot
plot(<uncounted_popsize>): Plot Population Size Estimates
plot_explore(): Exploratory plots for the power-law model
popsize(): Estimated Population Size
predict(<uncounted>): Predict from an uncounted model
print(<uncounted_boot>): Print Bootstrap Population Size Results
print(<uncounted_loo>): Print LOO Sensitivity Results
print(<uncounted_loo_compare>): Print LOO Comparison Results
profile(<uncounted>): Profile Likelihood for Uncounted Models
profile_alpha(): Profile Likelihood for Alpha Coefficients
profile_beta(): Profile Likelihood for Beta Coefficients
profile_gamma(): Gamma Profile: Population Size as a Function of Gamma
residuals(<uncounted>): Residuals for uncounted models
rootogram(): Rootogram for count model diagnostics
run_app(): Launch the uncounted Shiny Application
summary(<uncounted>): Summary of an Uncounted Population Model
summary(<uncounted_boot>): Summary of Bootstrap Population Size Results
summary(<uncounted_loo>): Summary of LOO Sensitivity Results
tidy(<uncounted>): Tidy an uncounted model
update(<uncounted>): Update and re-fit an uncounted model
vcov_nb(): Theta-Aware Full Variance-Covariance for NB Models