modelfree (version 1.0-2)

binomfit_lims: Generalized linear model fit with guessing and lapsing rates

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 )