Constraint: Constraint calculations in NIMBLE

In nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling

Constraint calculations in NIMBLE

Description

Calculations to handle censoring

Usage

dconstraint(x, cond, log = FALSE)

rconstraint(n = 1, cond)

Arguments

x	value indicating whether cond is TRUE or FALSE
cond	logical value
log	logical; if TRUE, probability density is returned on the log scale.
n	number of observations (only n=1 is handled currently).

Details

Used for working with constraints in BUGS code. See the NIMBLE manual for additional details.

Value

dconstraint gives the density and rconstraint generates random deviates, but these are unusual as the density is 1 if x matches cond and 0 otherwise and the deviates are simply the value of cond

Author(s)

Christopher Paciorek

See Also

Distributions for other standard distributions

Examples

constr <- 3 > 2 && 4 > 0
x <- rconstraint(1, constr)
dconstraint(x, constr)
dconstraint(0, 3 > 4)
dconstraint(1, 3 > 4)
rconstraint(1, 3 > 4)

nimble documentation built on July 9, 2023, 5:24 p.m.