multinom.regs: Many simple multinomial regressions

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

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 <[e-mail]>

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

Rfast documentation built on April 3, 2025, 11:34 p.m.