ofv: Objective functions

In kylebtwin/optimhelp: Helper functions for optimizing in R

Description

These functions take in observed and predicted data as well as other data items and return a single objective function value quantifying how similar the predicted data are to the observed data.

Usage

els(dv, pred, sigma, logdv = FALSE, ...)

ml(dv, pred, sigma, logdv = FALSE, ...)

ols(dv, pred, ...)

wls(dv, pred, ...)

Arguments

dv	observed data vector
pred	model-predicted data vector
sigma	residual error variance; may be length 1 or length of the dv and pred vectors
logdv	if TRUE, then observations and predictions will be log-transformed prior to calculating the objective function value
...	not used

Details

els: extended least squares; ml: maximum likelihood (normal); ols: ordinary least squares; wls: weighted least squares

kylebtwin/optimhelp documentation built on Sept. 12, 2021, 8:10 p.m.