weib.regs: Many simple Weibull regressions.

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Many simple Weibull regressions.

Usage

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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 stefanosfafalios@gmail.com.

See Also

bic.regs

Examples

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

Rfast2 documentation built on March 22, 2021, 9:08 a.m.