nbinom2: Family functions for glmmTMB

Description

Family functions for glmmTMB

Usage

nbinom2(link = "log")
nbinom1(link = "log")
compois(link = "log")
genpois(link = "log")
truncated_poisson(link = "log")
truncated_nbinom2(link = "log")
truncated_nbinom1(link = "log")
betar(link = "logit")
betabinomial(link = "logit")
tweedie(link = "log")

Arguments

link

(character) link function ("log", "logit", "probit", "inverse", "cloglog", or "identity")

Value

returns a list with (at least) components

family

length-1 character vector giving the family name

link

length-1 character vector specifying the link function

variance

a function of either 1 (mean) or 2 (mean and dispersion parameter) arguments giving the predicted variance

Details

nbinom2: has a variance that increases quadratically with the mean (Hardin & Hilbe 2007)
nbinom1: has a variance that increases linearly with the mean (Hardin & Hilbe 2007)
compois: is the Conway-Maxwell Poisson parameterized with the exact mean which differs from the COMPoissonReg package (Sellers & Lotze 2015)
genpois: is the generalized Poisson distribution
beta: follows the parameterization of Ferrari and Cribari-Neto (2004) and the betareg package

References

Ferrari SLP, Cribari-Neto F (2004). "Beta Regression for Modelling Rates and Proportions." J. Appl. Stat. 31(7), 799-815.
Hardin JW & Hilbe JM (2007). "Generalized linear models and extensions." Stata press.
Sellers K & Lotze T (2015). "COMPoissonReg: Conway-Maxwell Poisson (COM-Poisson) Regression". R package version 0.3.5. https://CRAN.R-project.org/package=COMPoissonReg