Package index • flexCountReg

All functions

dcom() pcom() qcom() rcom(): Conway-Maxwell-Poisson (COM) Distribution
dgwar() pgwar() qgwar() rgwar(): Generalized Waring Distribution
dlindley() plindley() qlindley() rlindley(): One-Parameter Lindley Distribution
dplindGamma() pplindGamma() qplindGamma() rplindGamma(): Poisson-Lindley-Gamma (Negative Binomial-Lindley) Distribution
dpge() ppge() qpge() rpge(): Poisson-Generalized-Exponential Distribution
dpinvgamma() ppinvgamma() qpinvgamma() rpinvgamma(): Poisson-Inverse-Gamma Distribution
dpinvgaus() ppinvgaus() qpinvgaus() rpinvgaus(): Poisson-Inverse-Gaussian Distribution
msg1 dplind() pplind() qplind() rplind(): Poisson-Lindley Distribution
dplindLnorm() pplindLnorm() qplindLnorm() rplindLnorm(): Poisson-Lindley-Lognormal Distribution
dpLnorm() ppLnorm() qpLnorm() rpLnorm(): Poisson-Lognormal Distribution
dpoisweibull() ppoisweibull() qpoisweibull() rpoisweibull(): Poisson-Weibull Distribution Functions
dsichel() psichel() qsichel() rsichel(): Sichel Distribution
dtri() ptri() qtri() rtri(): Triangle Distribution
cor2cov(): Generate a covariance matrix using a correlation matrix and vector of standard deviations
corr_haltons(): Generate Correlated Random Variables Using Halton or Scrambled Halton Draws
countreg(): Count regression models
countreg.rp(): Random Parameters Count Regression Models
cureplot(): Cumulative Residuals (CURE) Plot for Count Models
flexCountReg-class: flexCountReg Class
halton_dists(): Generate pseudo-random draws from specified distributions using Halton draws
dinvgamma() pinvgamma() qinvgamma() rinvgamma(): Inverse Gamma Distribution
mae(): Calculate Mean Absolute Error (MAE)
mgf_lognormal(): Moment Generating Function for a Lognormal Distribution
myAIC(): Calculate Akaike Information Criterion (AIC)
myBIC(): Calculate Bayesian Information Criterion (BIC)
poisLind.re(): Function for estimating a Random Effects Poisson-Lindley regression model
predict(<flexCountReg>): Predictions for flexCountReg models
regCompTable(): Create a Table Comparing Regression Models with AIC, BIC, and McFadden's Pseudo-R-Squared
regCompTest(): Compare Regression Models with Likelihood Ratio Test, AIC, and BIC
renb(): Estimate a Random Effects Negative Binomial regression model
rmse(): Calculate Root Mean Squared Error (RMSE)
summary(<flexCountReg>): Custom summary method for flexCountReg models
tidy(<flexCountReg>): Tidy a flexCountReg object
washington_roads: Washington Road Crashes