Many simple multinomial regressions.
Many simple multinomial regressions.
multinom.regs(y, x, tol = 1e-08, logged = FALSE, parallel = FALSE, maxiters = 100)
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. |
Many simple multinomial regressions are fitted.
A matrix with the test statistic values, their relevant (logged) p-values and the BIC values.
Stefanos Fafalios
R implementation and documentation: Stefanos Fafalios <stefanosfafalios@gmail.com>
y <- rbinom(100, 2, 0.5) x <- matrnorm(100, 100) a <- multinom.regs(y, x) x <- NULL
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