# R/interval.R In LaplacesDemon: Complete Environment for Bayesian Inference

#### Documented in interval

```###########################################################################
# interval                                                                #
#                                                                         #
# The purpose of the interval function is to constrain the element(s) of  #
# a scalar, vector, matrix, or array to the interval [a,b].               #
###########################################################################

interval <- function(x, a=-Inf, b=Inf, reflect=TRUE)
{
### Initial Checks
if(missing(x)) stop("The x argument is required.")
if(a > b) stop("a > b.")
if(reflect & is.finite(a) & is.finite(b) & any(!is.finite(x))) {
if(is.array(x)) {
d <- dim(x)
x <- as.vector(x)}
x.inf.pos <- !is.finite(x);
x[x.inf.pos] <- interval(x[x.inf.pos], a, b, reflect=FALSE)
if(is.array(x)) x <- array(x, dim=d)
}
### Scalar
if(is.vector(x) & {length(x) == 1}) {
if(reflect == FALSE) x <- max(a, min(b, x))
else if(x < a | x > b) {
out <- TRUE
while(out) {
if(x < a) x <- a + a - x
if(x > b) x <- b + b - x
if(x >= a & x <= b) out <- FALSE
}}}
### Vector
else if(is.vector(x) & {length(x) > 1}) {
if(reflect == FALSE) {
x.num <- which(x < a)
x[x.num] <- a
x.num <- which(x > b)
x[x.num] <- b}
else if(any(x < a) | any(x > b)) {
out <- TRUE
while(out) {
x.num <- which(x < a)
x[x.num] <- a + a - x[x.num]
x.num <- which(x > b)
x[x.num] <- b + b - x[x.num]
if(all(x >= a) & all(x <= b)) out <- FALSE
}}}
### Matrix or Array
else if(is.array(x)) {
d <- dim(x)
x <- as.vector(x)
if(reflect == FALSE) {
x.num <- which(x < a)
x[x.num] <- a
x.num <- which(x > b)
x[x.num] <- b}
else if(any(x < a) | any(x > b)) {
out <- TRUE
while(out) {
x.num <- which(x < a)
x[x.num] <- a + a - x[x.num]
x.num <- which(x > b)
x[x.num] <- b + b - x[x.num]
if(all(x >= a) & all(x <= b)) out <- FALSE
}}
x <- array(x, dim=d)}
return(x)
}

#End
```

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LaplacesDemon documentation built on July 1, 2018, 9:02 a.m.