pmf.Rd
Access a distribution's probability mass function (pmf).
eval_pmf(distribution, at, strict = TRUE)
enframe_pmf(
...,
at,
arg_name = ".arg",
fn_prefix = "pmf",
sep = "_",
strict = TRUE
)
A distribution, or possibly multiple
distributions in the case of ...
.
Vector of values to evaluate the cdf at. Must be named when using
in enframe_
.
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 ...
.
For enframe_
, name of the column containing
the function arguments.
For enframe_
, name of the function to
appear in the column(s).
When enframe
'ing more than one distribution, the
character that will be separating the fn_name
and the distribution name.
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_return()
,
eval_survival()
d <- dst_empirical(1:10)
eval_pmf(d, at = c(1, 2, 2.5))
#> [1] 0.1 0.1 0.0
enframe_pmf(d, at = 0:4)
#> # A tibble: 5 × 2
#> .arg pmf
#> <int> <dbl>
#> 1 0 0
#> 2 1 0.1
#> 3 2 0.1
#> 4 3 0.1
#> 5 4 0.1
eval_pmf(dst_norm(0, 1), at = -3:3, strict = FALSE)
#> [1] 0 0 0 0 0 0 0