calcLRTs

A list of points in predictor (parameter) space. Each point is a numeric vector or list with named elements , the names being those of some parameters.

testPointList

A connection, or a character string naming a file for some nicely formated output. If <code>""</code> (the default), print to the standard output connection.

cleanResu

Assuming that <code><a href="/link/calcPredictorOK?package=blackbox&version=1.0" rd-options="" data-mini-rdoc="blackbox::calcPredictorOK">calcPredictorOK</a></code> and <code><a href="/link/maximizeOK?package=blackbox&version=1.0" rd-options="" data-mini-rdoc="blackbox::maximizeOK">maximizeOK</a></code> have been first run and that the predicted response surface is a likelihood surface , this performs likelihood ratio (LR) tests for a list of parameter points. Profiles are computed if appropriate, i.e. is the point is lower-dimensional than the the parameter space.

Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. blackbox includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross validation.

calcLRTs: Compute (profile) likelihood ratio tests

Description

Usage

Arguments

Value