Many simple geometric regressions.
Many simple geometric regressions.
geom.regs(y, x, tol = 1e-07, type = 1, logged = FALSE, parallel = FALSE, maxiters = 100)
y |
The dependent variable, count data. |
x |
A matrix with the indendent variables. |
tol |
The tolerance value to terminate the Newton-Raphson algorithm. |
type |
Type 1 refers to the case where the minimum is zero and type 2 for the case of the minimum being 1. |
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 max number of iterations that can take place in each regression. |
Many simple geometric 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 <- rgeom(100, 0.6) x <- matrix( rnorm(100 * 50), ncol = 50) a <- geom.regs(y, x) x <- NULL
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