binom_gl: Psychometric function with guessing and lapsing rates

In modelfree: Model-free estimation of a psychometric function

Description

THIS IS AN INTERNAL FUNCTION: USE BINOM_LIMS FOR BEST RESULTS. Maximum likelihood estimates of the parameters of psychometric function with guessing and lapsing rates (GLM) or only guessing rate. The estimated parameters for the linear part are in vector b and the estimated limits are in lims.

Usage

binom_gl( r, m, x, link, p, K, initval )

Arguments

r	number of successes in points x
m	number of trials in points x
x	stimulus levels
link	link function
p	degree of the polynomial to be fitted on the linear scale
K	Power parameter in Weibull and reverse Weibull models
initval	initial value for guessing and lapsing rates

Value

value

Object with 4 components: guessing: estimated guessing rate lapsing: estimated lapsing rate b: vector of estimated coefficients for the linear part fit: glm object to be used in evaluation of fitted values

Examples

data( "01_Miranda" );
value <-binom_gl( example01$r, example01$m, example01$x, "logit", 1, 2, c( 0.01, 0.01 ) );

modelfree documentation built on May 2, 2019, 6:07 p.m.