boot_3par_multi: Psychometric

In mattelisi/mlisi: Miscellaneous R helpers and functions

Description

Bootstrap model to estimate parameter posterior distribution (useful for calculating confidence intervals). Multiple conditions and fixed lapse rate.

Bootstrap model to estimate parameter posterior distribution (useful for calculating confidence intervals)

Usage

boot_3par_multi(p, d, l_b, u_b, nsim = 1000)

boot_3par_multi(p, d, l_b, u_b, nsim = 1000)

Arguments

p	parameter vector, c(mu, sigma, lambda)
d	a dataframe with a column 'r' that indicate response (0,1) and a column 'x' that indicate the stimulus, plus a column 'condition'
p	parameter vector, c(mu, sigma, lambda)
d	a dataframe with a column 'r' that indicate response (0,1) and a column 'x' that indicate the stimulus

mattelisi/mlisi documentation built on Oct. 13, 2019, 5:59 p.m.