R: Many simple multinomial regressions.

Many simple multinomial regressions {Rfast} | R Documentation

## Many simple multinomial regressions.

### Description

Many simple multinomial regressions.

### Usage

    multinom.regs(y, x, tol = 1e-08, logged = FALSE, parallel = FALSE, maxiters = 100)

### Arguments

`y` | The dependent variable, either a numerical variable or a factor variable.
`x` | A matrix with the indendent variables.
`tol` | The tolerance value to terminate the Newton-Raphson algorithm.
`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 maximum number of iterations that can take place in each regression.

### Details

Many simple multinomial 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 <- rbinom(100, 2, 0.5)
    x <- matrnorm(100, 100)
    a <- multinom.regs(y, x)
    x <- NULL

[Package Rfast version 2.0.4 Index]