pargen: Generating random parameters for averaging responses

In rAverage: Parameter Estimation for the Averaging Model of Information Integration Theory

Description

Generates a random set of parameters that follows an averaging rule.

Usage

pargen(lev, s.range = c(0,20), w.range = exp(c(-5,5)),
        I0 = FALSE, t.par = FALSE, digits = 2)

Arguments

lev	Numeric vector. Number of levels of each factor.
s.range	Numeric vector. Range of variability of the s-parameters.
w.range	Numeric vector. Range of variability of the w-parameters.
I0	Logical. If set to FALSE, parameter s0 and w0 are set to zero. If set TRUE initial parameters are free to be estimated.
t.par	Specifies if the weight parameters should be the 't' instead the 'w'.
digits	Numeric. Decimal rounding of the parameters.

Value

Vector contaning the random-generated parameters in the order s0,w0,s(k,i),w(k,i).

See Also

datgen, rav, rav.indices, rAverage-package

Examples

# Generating random parameters for a 3x4 design:
param <- pargen(lev = c(3,4))

rAverage documentation built on May 2, 2019, 6:40 a.m.