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Constraint

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

MCMC, Particle Filtering, and Programmable Hierarchical Modeling

v0.11.0
BSD_3_clause + file LICENSE | GPL (>= 2)
Authors
Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system), Abel Rodrìguez [aut] (Bayesian nonparametrics system), Duncan Temple Lang [aut] (packaging configuration), Sally Paganin [aut] (reversible jump MCMC), Jagadish Babu [ctb] (code for the compilation system for an early version of NIMBLE), Lauren Ponisio [ctb] (contributions to the cross-validation code), Peter Sujan [ctb] (multivariate t distribution code)
Initial release
2021-04-16

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