weib.regs: Many simple Weibull regressions.

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Many simple Weibull regressions.

Description

Many simple Weibull regressions.

Usage

weib.regs(y, x, tol = 1e-07, logged = FALSE, parallel = FALSE, maxiters = 100)

Arguments

y	The dependent variable, either a numerical variable with numbers greater than zero.
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 weibull regressions are fitted.

Value

A matrix with the test statistic values and their associated (logged) p-values.

Author(s)

Stefanos Fafalios.

R implementation and documentation: Stefanos Fafalios [e-mail].

See Also

bic.regs

Examples

y <- rgamma(100, 3, 4)
x <- matrix( rnorm( 100 * 30 ), ncol = 30 )
a <- weib.regs(y, x)
x <- NULL

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.