R: Many simple geometric regressions.

Many simple geometric regressions {Rfast} | R Documentation

## Many simple geometric regressions.

### Description

Many simple geometric regressions.

### Usage

    geom.regs(y, x, tol = 1e-07, type = 1, logged = FALSE, parallel = FALSE, maxiters = 100)

### Arguments

`y` | The dependent variable, count data.
`x` | A matrix with the indendent variables.
`tol` | The tolerance value to terminate the Newton-Raphson algorithm.
`type` | Type 1 refers to the case where the minimum is zero and type 2 for the case of the minimum being 1.
`logged` | A boolean variable; it will return the logarithm of the pvalue if set to TRUE.
`parallel` | Do you want this to be executed in parallel or not. The parallel takes place in C++, and the number of threads is defined by each system's availiable cores.
`maxiters` | The max number of iterations that can take place in each regression.

### Details

Many simple geometric regressions are fitted.

### Value

A matrix with the test statistic values, their relevant (logged) p-values and the BIC values.

### Author(s)

Stefanos Fafalios

R implementation and documentation: Stefanos Fafalios <stefanosfafalios@gmail.com>

### See Also

`poisson_only, prop.regs, score.geomregs`

### Examples

    y <- rgeom(100, 0.6)
    x <- matrix( rnorm(100 * 50), ncol = 50)
    a <- geom.regs(y, x)
    x <- NULL

[Package Rfast version 2.0.0 Index]