combine.and.fit: Combine and Fit Parameters

In FAMoS: A Flexible Algorithm for Model Selection

Description

Combines fitted and non-fitted parameters and calls the fitting function. Serves as a wrapping function for the user-specified fitting function fit.fn (see famos).

Usage

combine.and.fit(par, par.names, fit.fn, binary = NULL,
  default.val = NULL, ...)

Arguments

par	A named vector containing all parameters that are supposed to be fitted.
par.names	The names of all parameters
fit.fn	The cost function (see famos for more details).
binary	A vector containing zeroes and ones. Zero indicates that the corresponding parameter is not fitted.
default.val	A named list containing the values that the non-fitted parameters should take. If NULL, all non-fitted parameters will be set to zero. Default values can be either given by a numeric value or by the name of the corresponding parameter the value should be inherited from (NOTE: In this case the corresponding parameter entry has to contain a numeric value). Default to NULL.
...	Other arguments.

Value

Returns the negative log-likelihood as calculated by the specified cost function

Examples

#set parameters and cost function
fit.par <- c(p1 = 2, p2 = 4)
name.par <- c("p1", "p2", "p3")
defaults <- list(p1 = 0, p2 = 2, p3 = 4)
cost.function <- function(parms){
    parms[1] + parms[2] + parms[3]
}

#call combine.and.fit
combine.and.fit(par = fit.par, par.names = name.par, fit.fn = cost.function)
combine.and.fit(par = fit.par, par.names = name.par, fit.fn = cost.function, default.val = defaults)

FAMoS documentation built on May 26, 2019, 5 p.m.