summary.marqLevAlg: Summary of optimization

In VivianePhilipps/marqLevAlgParallel: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm

Summary of optimization

Description

A short summary of parameters estimates by marqLevAlg algorithm.

Usage

## S3 method for class 'marqLevAlg'
summary(object, digits = 8, loglik = FALSE, ...)

Arguments

object	a marqLevAlg object
digits	Number of digits to print in outputs. Default value is 8.
loglik	Logical indicating if the objective function is a log-likelihood. By default, loglik=FALSE.
...	other (unsued) arguments

Value

A data frame containing as many rows as estimated parameters. If loglik=FALSE, it includes one column containing the estimated parameters values. If loglik=TRUE, it includes 6 columns : the estimated parameters, their standard errors, the corresponding Wald statistic, the associated p-value and the boundaries of the 95% confidence interval.

Author(s)

V. Philipps, C. Proust-Lima, B. Hejblum, D. Commenges, M. Prague, A. Diakite

See Also

marqLevAlg, print.marqLevAlg

Examples

f1 <- function(b){	
return(4*(b[1]-5)^2+(b[2]-6)^2)	
}
test.marq <- marqLevAlg(b=c(8,9),m=2,maxiter=100,epsa=0.001,epsb=0.001,
epsd=0.001,fn=f1)

summary(test.marq)

VivianePhilipps/marqLevAlgParallel documentation built on Oct. 18, 2023, 2:16 p.m.