normlog.reg: Gaussian regression with a log-link

In Rfast: A Collection of Efficient and Extremely Fast R Functions

Gaussian regression with a log-link

Description

Gaussian regression with a log-link.

Usage

normlog.reg(y, x, tol = 1e-07, maxiters = 100)

Arguments

y	The dependent variable, a numerical variable with non negative numbers.
x	A matrix or data.frame with the indendent variables.
tol	The tolerance value to terminate the Newton-Raphson algorithm.
maxiters	The maximum number of iterations that can take place in the regression.

Details

A Gaussian regression with a log-link is fitted.

Value

A list including:

i	The number of iterations required by the Newton-Raphson
loglik	The log-likelihood value.
deviance	The deviance value.
be	The regression coefficients

Author(s)

Stefanos Fafalios

R implementation and documentation: Stefanos Fafalios <[e-mail]>

See Also

normlog.regs, score.glms, prop.regs, allbetas

Examples

y <- abs( rnorm(100) )
x <- matrix( rnorm(100 * 2), ncol = 2)
a <- normlog.reg(y, x)
b <- glm(y ~ x, family = gaussian(log) )
summary(b)
a

Rfast documentation built on Nov. 9, 2023, 5:06 p.m.