coef.ICCier: Extract group-specific values

In stephensrmmartin/ICCier: Computes ICCs, per person, or per observation, using the Bayesian mixed effects location scale model

Description

Takes ICCier object and returns group-specific values.

Usage

## S3 method for class 'ICCier'
coef(object, summary = TRUE, prob = 0.95,
  predict = FALSE)

Arguments

object	ICCier object
summary	Logical. Whether to return summary (mean, intervals) of ICCs (TRUE), or posterior samples (FALSE)
prob	A number p (0 < p < 1) indicating the desired probability mass to include in the intervals.
predict	Logical (Default = FALSE). If TRUE, the group-specific effect is the predicted value and the random effect; e.g., g_{0i} = X^{(2)}G + u_{0i}. If FALSE, the group-specific effect is the fixed effect and the random effect; e.g., g_{0i} = g_0 + u_{0i}. The latter is akin to what brms computes.

Value

3D array. If 'summary = TRUE' (default): '[group, statistic, random effect]'. If 'summary = FALSE': '[group, random effect, MCMC sample]'

stephensrmmartin/ICCier documentation built on Aug. 22, 2019, 10 a.m.