| 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