Random-effect (co)variances for a beezdiscounting_choice fit

Descriptive (Young 2018): the 2-RE slope SDs and their correlation (the per-subject magnitude/delay sensitivities); pooled (random_slopes = FALSE) returns a 0-row frame. Structural: the log-k random-intercept SD.

Usage

# S3 method for class 'beezdiscounting_choice'
VarCorr(x, sigma = 1, ...)

Arguments

x

A beezdiscounting_choice object.

sigma

Ignored (present for nlme::VarCorr() generic compatibility).

...

Unused.

Value

A data frame of variance components. Descriptive: Group, Term, Variance, StdDev, Corr (one row per random slope; 0 rows when pooled). Structural: Group, Term, StdDev, Scale.