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Truncated distribution

Source: R/dist_trunc.R
dist_trunc.Rd

Truncated distribution

Usage

dist_trunc(dist = NULL, min = NULL, max = NULL, offset = 0, max_retry = 100)

Arguments

dist

An underlying distribution, or NULL as a placeholder.

min

Minimum value to truncate at (exclusive), or NULL as a placeholder.

max

Maxmimum value to truncate at (inclusive), or NULL as a placeholder.

offset

Offset to be added to each observation after truncation, or NULL as a placeholder. Truncation of dist will occur to (min, max]. The offset is then added deterministically.

max_retry

Maximum number of resample attempts when trying to sample with rejection.

Value

A TruncatedDistribution object.

See also

Other Distributions: Distribution, dist_bdegp(), dist_beta(), dist_binomial(), dist_blended(), dist_dirac(), dist_discrete(), dist_empirical(), dist_erlangmix(), dist_exponential(), dist_gamma(), dist_genpareto(), dist_lognormal(), dist_mixture(), dist_negbinomial(), dist_normal(), dist_pareto(), dist_poisson(), dist_translate(), dist_uniform(), dist_weibull()

Examples

d_norm <- dist_normal(mean = 0, sd = 1)
d_tnorm <- dist_trunc(dist = d_norm, min = -2, max = 2, offset = 1)
plot_distributions(d_norm, d_tnorm, .x = seq(-2, 3, length.out = 100))