binom_g: Psychometric function with guessing rate

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 rate (GLM). The estimated parameters for the linear part are in vector b and the estimated guessing rate is guess (GLM).

Usage

binom_g( 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 rate

Value

value

Object with 3 components: guessing: estimated guessing 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_g( example01$r, example01$m, example01$x, "logit", 1, 2, 0.01 )

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