R: Interval calculations

Interval {nimble} | R Documentation

## 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)

[Package nimble version 0.9.1 Index]