R: Gaussian regression with a log-link

Gaussian regression with a log-link {Rfast} | R Documentation

## 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 <stefanosfafalios@gmail.com>

### See Also

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

### Examples

    ## Not run:
    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

    ## End(Not run)

[Package Rfast version 2.0.0 Index]