nlmax: Nonlinear maximization and minimization

In rpruim/fastR: Foundations and Applications of Statistics Using R (2nd Edition)

Nonlinear maximization and minimization

Description

nlmin and nlmax are thin wrappers around nlm, a non-linear minimizer. nlmax avoids the necessity of modifying the function to construct a minimization problem from a problem that is naturally a maximization problem. The summary method for the resulting objects provides output that is easier for humnans to read.

Usage

nlmax(f, ...)

nlmin(f, ...)

## S3 method for class 'nlmax'
summary(object, nsmall = 4, ...)

## S3 method for class 'nlmin'
summary(object, nsmall = 4, ...)

Arguments

f	a function to optimize
...	additional arguments passed to nlm. Note that p is a required argument for nlm. See the help for nlm for details.
object	an object returned from nlmin or nlmax
nsmall	a numeric passed through to format

Examples

summary( nlmax( function(x) 5 - 3*x - 5*x^2, p=0 ) )

rpruim/fastR documentation built on Nov. 12, 2023, 12:26 p.m.