dbetabin: Betabinomial density

In corncob: Count Regression for Correlated Observations with the Beta-Binomial

Betabinomial density

Description

Betabinomial density

Usage

dbetabin(theta, W, M, X, X_star, np, npstar, link, phi.link, logpar = TRUE)

Arguments

theta	Numeric vector. Parameters associated with X and X_star
W	Numeric vector of counts
M	Numeric vector of sequencing depth
X	Matrix of covariates associated with abundance (including intercept)
X_star	Matrix of covariates associated with dispersion (including intercept)
np	Number of covariates associated with abundance (including intercept)
npstar	Number of covariates associated with dispersion (including intercept)
link	ink function for abundance covariates
phi.link	ink function for dispersion covariates
logpar	Boolean. Defaults to TRUE. Indicator of whether to return log-likelihood.

Value

Negative beta-binomial (log-)likelihood

corncob documentation built on Aug. 31, 2023, 9:06 a.m.