Interval: Interval calculations

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

Interval calculations

Description

Calculations to handle censoring

Usage

dinterval(x, t, c, log = FALSE)

rinterval(n = 1, t, c)

Arguments

x	vector of interval indices.
t	vector of values.
c	vector of one or more values delineating the intervals.
log	logical; if TRUE, probability density is returned on the log scale.
n	number of observations.

Details

Used for working with censoring in BUGS code. Taking c to define the endpoints of two or more intervals (with implicit endpoints of plus/minus infinity), x (or the return value of rinterval) gives the non-negative integer valued index of the interval in which t falls. See the NIMBLE manual for additional details.

Value

dinterval gives the density and rinterval generates random deviates, but these are unusual as the density is 1 if x indicates the interval in which t falls and 0 otherwise and the deviates are simply the interval(s) in which t falls.

Author(s)

Christopher Paciorek

See Also

Distributions for other standard distributions

Examples

endpoints <- c(-3, 0, 3)
vals <- c(-4, -1, 1, 5)
x <- rinterval(4, vals, endpoints)
dinterval(x, vals, endpoints)
dinterval(c(1, 5, 2, 3), vals, endpoints)

nimble documentation built on Sept. 11, 2024, 7:10 p.m.