Returns the probability density/mass function for continuous/discrete (or mixture) distributions evaluated at a given point.
pdf(object, x1, ..., log = FALSE, simplify = TRUE)
vector of numerics to evaluate function at.
logical; if TRUE, probabilities p are given as log(p).
if TRUE (default) returns results in simplest form (vector or data.table) otherwise as data.table.
Probability density function evaluated at given points as either a numeric if
simplify is TRUE
or as a data.table.
For discrete distributions the probability mass function (pmf) is returned, defined as $$p_X(x) = P(X = x)$$ for continuous distributions the probability density function (pdf), \(f_X\), is returned $$f_X(x) = P(x < X \le x + dx)$$ for some infinitesimally small \(dx\).
If available a pdf will be returned without warning using an analytic expression. Otherwise,
if the distribution has not been decorated with
NULL is returned.
To impute the pdf, use
decorate(distribution, FunctionImputation), this will provide a numeric
calculation for the pdf with warning.
$pdf(x1, ..., log = FALSE, simplify = TRUE)