| Many simple geometric regressions {Rfast} | R Documentation |
Many simple geometric regressions.
Description
Many simple geometric regressions.
Usage
geom.regs(y, x, tol = 1e-07, type = 1, logged = FALSE, parallel = FALSE, maxiters = 100)
Arguments
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. |
Details
Many simple geometric 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 <- rgeom(100, 0.6)
x <- matrix( rnorm(100 * 50), ncol = 50)
a <- geom.regs(y, x)
x <- NULL