Rfast2: multinom.reg – R documentation

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multinom.reg

Multinomial regression

Multinomial regression.

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

`y`	The response variable. A numerical or a factor type vector.
`x`	A matrix or a data.frame with the predictor variables.
`tol`	The tolerance value to terminate the Newton-Raphson algorithm.
`maxiters`	The maximum number of iterations Newton-Raphson will perform.

A list including:

`iters`	The number of iterations required by the Newton-Raphson.
`loglik`	The value of the maximised log-likelihood.
`be`	A matrix with the estimated regression coefficients.

Michail Tsagris and Stefanos Fafalios

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Stefanos Fafalios stefanosfafalios@gmail.com.

Bohning, D. (1992). Multinomial logistic regression algorithm. Annals of the Institute of Statistical Mathematics, 44(1): 197-200.

y <- iris[, 5]
x <- matrix( rnorm(150 * 2), ncol = 2 )
mod <- multinom.reg(y, x)

A Collection of Efficient and Extremely Fast R Functions II

v0.0.9

GPL (>= 2.0)

Authors

Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.

Initial release

2021-03-21