pmf: Probability Mass Function

In vincenzocoia/distionary: Create and Evaluate Univariate Probability Distributions

Probability Mass Function

Description

Access a distribution's probability mass function (pmf).

Usage

eval_pmf(distribution, at, strict = TRUE)

enframe_pmf(
  ...,
  at,
  arg_name = ".arg",
  fn_prefix = "pmf",
  sep = "_",
  strict = TRUE
)

Arguments

distribution, ...	A distribution, or possibly multiple distributions in the case of ....
at	Vector of values to evaluate the cdf at. Must be named when using in enframe_.
strict	Only evaluate when the pmf exists? TRUE if so; if FALSE, simply evaluates the probability of the specified outcomes.
arg_name	For enframe_, name of the column containing the function arguments.
fn_prefix	For enframe_, name of the function to appear in the column(s).
sep	When enframe'ing more than one distribution, the character that will be separating the fn_name and the distribution name.

Value

The evaluated probabilities in vector form (for eval_) and data frame or tibble form (for enframe_).

See Also

Other distributional representations: eval_cdf(), eval_chf(), eval_density(), eval_hazard(), eval_odds(), eval_quantile(), eval_return(), eval_survival()

Examples

d <- dst_empirical(1:10)
eval_pmf(d, at = c(1, 2, 2.5))
enframe_pmf(d, at = 0:4)
eval_pmf(dst_norm(0, 1), at = -3:3, strict = FALSE)

vincenzocoia/distionary documentation built on March 5, 2024, 3:13 a.m.