gr_full: Parameter Gradient Vector

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

Parameter Gradient Vector

Description

Used for internal optimization. Not intended for users.

Usage

gr_full(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

Gradient of likelihood with respect to parameters

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