bern_bugs: Bugs code for Bernoulli response

In abn: Modelling Multivariate Data with Additive Bayesian Networks

Bugs code for Bernoulli response

Description

Bugs model for a Binomial response X in a single trial: X \sim \mathcal{B}(n=1, p) = \mathcal{Bernoulli}(p).

Usage

bern_bugs(nodename, nodesintercept, parentnames, parentcoefs)

bern_bugsGroup(nodename, nodesintercept, parentnames, parentcoefs, sigma_alpha)

Arguments

nodename	character string of response variable name.
nodesintercept	overall mean of response. Parameter from fixed-effects intercept.
parentnames	single character string (for one parent) or vector of characters (for multiple parent nodes) with parent node (predictor variables) names.
parentcoefs	overall slope for each predictor (parent node) variable (fixed-effects).
sigma_alpha	between-group variance. Parameter from random-effects intercept.

Value

Bugs model returned as stdout.

Functions

• bern_bugsGroup(): Bugs code for Bernoulli response with varying intercept

See Also

makebugs simulateAbn

Examples

bern_bugs(nodename = "a",
          parentnames = c("b", "c"),
          nodesintercept = c(0.318077),
          parentcoefs = list("b"=c(b=0.3059395),
                             "c"=c(c=0.5555)))

abn documentation built on Nov. 3, 2023, 5:08 p.m.