distname-utils | R Documentation |
The Lambert W\times
F framework can take any (continuous) random variable with distribution
F and make it skewed (type = "s"
), heavy tailed (type = "h"
),
or both (type = "hh"
).
In principle, this works for any F. Of course, this package implements only a finite
number of distributions, which can be specified with the distname
argument.
Most functions in this package, however, also allow you to pass your own distribution and parameters
and create a Lambert W\times
F version of it.
check_distname
checks if the distribution specified by
the distname
argument is implemented in this package.
get_distname_family
determines whether a distribution is a
location, scale, or location-scale family.
It also returns whether the distribution is supported on non-negative
values only.
get_distnames
lists all currently implemented distributions F_X
.
check_distname(distname)
get_distname_family(distname)
get_distnames()
distname |
character; name of input distribution; see
|
check_distname
returns (invisible) that the distribution is implemented,
or throws an error otherwise.
get_distname_family
returns a list with
location |
logical; if |
scale |
logical; if |
is.non.negative |
logical; if |
get_distnames
returns a vector of strings in alphabetical order.
It lists all supported distributions.
Each string can be passed as the distname
argument to several functions in this package.
create_LambertW_input
, create_LambertW_output
.
check_distname("normal")
## Not run:
check_distname("my_great_distribution")
## End(Not run)
get_distname_family("normal")
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