binom_lims: Psychometric function with guessing and lapsing rates

In modelfree: Model-free estimation of a psychometric function

Description

Maximum likelihood estimates of the parameters of psychometric function with guessing and lapsing rates (GLM) or only guessing rate. The estimated parameters for the linear part are in vector b and the estimated limits are in lims.

Usage

binom_lims( r, m, x, gl = c( "both" ), link = c( "logit" ), p = 1, K = 2, initval = NULL )

Arguments

r	number of successes in points x
m	number of trials in points x
x	stimulus levels
gl	indicator, calulate only guessing if "guessing", only lapsing if "lapsing" and both guessing and lapsing if "both"; default is "both"
link	link function; default is "logit"
p	degree of the polynomial to be fitted on the linear scale; default is 1
K	Power parameter in Weibull and reverse Weibull models; default is 2
initval	initial value for guessing and lapsing; default is c( 0.01, 0.01) if guessing and lapsing rates are estimated, and 0.01 if only guessing or only lapsing rate is estimated

Value

value

The object returned by internal functions binom_g, binom_l, or binom_gl, depending on only guessing, only lapsing, or guessing and lapsing are estimated

Examples

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

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