binomfit_lims: Generalized linear model fit with guessing and lapsing rates

In modelfree: Model-free estimation of a psychometric function

Description

The function fits a binomial generalised liner model with fixed guessing and lapsing rates

Usage

binomfit_lims( r, m, x, p = 1, link = c( "logit" ), guessing = 0, lapsing = 0, K = 2 )

Arguments

r	number of successes in points x
m	number of trials in points x
x	stimulus levels
p	degree of the polynomial to be fitted on the linear scale; default is 1
link	link function; default is "logit"
guessing	guessing rate; default is 0
lapsing	lapsing rate; default is 0
K	power parameter for Weibull and reverse Weibull link; default is 2

Value

value

Object with 2 components: 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 <- binomfit_lims( example01$r, example01$m, example01$x )

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