geom.regs: Many simple geometric regressions.

In Rfast: A Collection of Efficient and Extremely Fast R Functions

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 <[e-mail]>

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

Rfast documentation built on Nov. 9, 2023, 5:06 p.m.