islogscale

This tests whether a log scale is used for a parameter.

Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and 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.

Franois Rousset

blackbox

Black Box Optimization and Exploration of Parameter Space

François Rousset

Raphaël Leblois

islogscale function

<dl> <dt>string</dt>
<dd>Name of the parameter tested</dd> <dt>scale</dt>
<dd>A vector of scales for parameters of the smoothed object (i.e. parameters in <code>blackbox.getOption("FONKgNames")</code>, see Details in <code>blackbox.options</code>).</dd> <dt>extraScale</dt>
<dd>A vector of scales for additional transformed parameters not in <code>blackbox.getOption("FONKgNames")</code>.</dd></dl>

Arguments

Test for parameter log scale — islogscale

<dl>

 <dt>string</dt>
<dd>Name of the parameter tested</dd>

 <dt>scale</dt>
<dd>A vector of scales for parameters of the smoothed object (i.e. parameters in <code>blackbox.getOption("FONKgNames")</code>, see Details in <code>blackbox.options</code>).</dd>

 <dt>extraScale</dt>
<dd>A vector of scales for additional transformed parameters not in <code>blackbox.getOption("FONKgNames")</code>.</dd>

</dl>

islogscale: Test for parameter log scale

Description

Usage

Value

Arguments