# pmf: Probability Mass Function In vincenzocoia/distionary: Create and Evaluate Univariate Probability Distributions

## Description

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

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10``` ```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. `...` A distribution, or possibly multiple distributions in the case of `...`. `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_`).

Other distributional representations: `eval_cdf()`, `eval_chf()`, `eval_density()`, `eval_hazard()`, `eval_odds()`, `eval_quantile()`, `eval_survival()`
 ```1 2 3 4``` ```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) ```