modelfree (version 1.0-2)

binom_weib: Psychometric function fitting for Weibull link function

Description

Maximum likelihood estimates of the parameters of the Weibull model (GLM). The estimated parameters for the linear part are in vector b and the estimated exponent is K.

Usage

binom_weib( r, m, x, p = 1, initK = 2, guessing = 0, lapsing = 0 )

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

initK

Power parameter in reverse Weibull model; default is 2

guessing

guessing rate; default is 0

lapsing

lapsing rate; default is 0

Value

• value
  Object with 3 components: b: vector of estimated coefficients for the linear part K: estiamte of the power parameter in the reverse Weibull model fit: glm object to be used in evaluation of fitted values

Examples

data( "01_Miranda" )
value <- binom_revweib( example01$r, example01$m, example01$x )