Access a distribution's cumulative hazard function (chf).
Usage
eval_chf(distribution, at)
enframe_chf(..., at, arg_name = ".arg", fn_prefix = "chf", 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 thefn_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_density()
,
eval_hazard()
,
eval_odds()
,
eval_pmf()
,
eval_quantile()
,
eval_return()
,
eval_survival()
Examples
d <- dst_unif(0, 4)
eval_chf(d, at = 0:4)
#> [1] 0.0000000 0.2876821 0.6931472 1.3862944 Inf
enframe_chf(d, at = 0:4)
#> # A tibble: 5 × 2
#> .arg chf
#> <int> <dbl>
#> 1 0 0
#> 2 1 0.288
#> 3 2 0.693
#> 4 3 1.39
#> 5 4 Inf