dist_missing: Missing distribution

In distributional: Vectorised Probability Distributions

Missing distribution

Description

A placeholder distribution for handling missing values in a vector of distributions.

Usage

dist_missing(length = 1)

Arguments

length

The number of missing distributions

Details

We recommend reading this documentation on pkgdown which renders math nicely. https://pkg.mitchelloharawild.com/distributional/reference/dist_missing.html

The missing distribution represents the absence of distributional information. It is used as a placeholder when distribution values are not available or not applicable, similar to how NA is used for missing scalar values.

Support: Undefined

Mean: \text{NA}

Variance: \text{NA}

Skewness: \text{NA}

Kurtosis: \text{NA}

Probability density function (p.d.f): Undefined

f(x) = \text{NA}

Cumulative distribution function (c.d.f): Undefined

F(t) = \text{NA}

Quantile function: Undefined

Q(p) = \text{NA}

Moment generating function (m.g.f): Undefined

E(e^{tX}) = \text{NA}

All statistical operations on missing distributions return NA values of appropriate length, propagating the missingness through calculations.

See Also

base::NA

Examples

dist <- dist_missing(3L)

dist
mean(dist)
variance(dist)

generate(dist, 10)

density(dist, 2)
density(dist, 2, log = TRUE)

cdf(dist, 4)

quantile(dist, 0.7)

distributional documentation built on June 27, 2026, 5:06 p.m.