binom_weib: Psychometric function fitting for Weibull link function

In modelfree: Model-free estimation of a psychometric 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 )

Example output

Loading required package: PolynomF
Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve

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