Interval calculations
Calculations to handle censoring
dinterval(x, t, c, log = FALSE) rinterval(n = 1, t, c)
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. |
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.
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.
Christopher Paciorek
Distributions for other standard distributions
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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.