pmf: Probability Mass Function

In vincenzocoia/distionary: Create and Evaluate Probability Distributions

Probability Mass Function

Description

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

Usage

eval_pmf(distribution, at)

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

Arguments

distribution, ...	A distribution, or possibly multiple distributions in the case of ....
at	Vector of values to evaluate the representation at.
arg_name	For enframe_, name of the column containing the function arguments. Length 1 character vector.
fn_prefix	For enframe_, name of the function to appear in the column(s). Length 1 character vector.
sep	When enframe'ing more than one distribution, the character that will be separating the fn_name and the distribution name. Length 1 character vector.

Value

The evaluated representation in vector form (for eval_) with length matching the length of at, and data frame or tibble form (for enframe_) with number of rows matching the length of at. The at input occupies the first column, named .arg by default, or the specification in arg_name; the evaluated representations for each distribution in ... go in the subsequent columns (one column per distribution). For a single distribution, this column is named according to the representation by default (cdf, survival, quantile, etc.), or the value in fn_prefix. For multiple distributions, unnamed distributions are auto-named, and columns are named ⁠<fn_prefix><sep><distribution_name>⁠ (e.g., cdf_distribution1).

See Also

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

Examples

d <- dst_pois(5)
eval_pmf(d, at = c(1, 2, 2.5))
enframe_pmf(d, at = 0:4)
eval_pmf(dst_norm(0, 1), at = -3:3)

vincenzocoia/distionary documentation built on Feb. 26, 2025, 11:09 a.m.