Rfast2: weib.regs – R documentation

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weib.regs

Many simple Weibull regressions.

Many simple Weibull regressions.

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

`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.

Many simple weibull regressions are fitted.

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

Stefanos Fafalios

R implementation and documentation: Stefanos Fafalios stefanosfafalios@gmail.com.

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

A Collection of Efficient and Extremely Fast R Functions II

v0.0.9

GPL (>= 2.0)

Authors

Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.

Initial release

2021-03-21