Many simple Weibull regressions {Rfast2} | R Documentation |
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 stefanosfafalios@gmail.com.
See Also
Examples
y <- rgamma(100, 3, 4)
x <- matrix( rnorm( 100 * 30 ), ncol = 30 )
a <- weib.regs(y, x)
x <- NULL