dot-convert_params_nbinom: Convert parameters of the negative binomial distribution to...
In epiparameter: Classes and Helper Functions for Working with Epidemiological Parameters
.convert_params_nbinom R Documentation
Convert parameters of the negative binomial distribution to summary
statistics
Description
Convert the probability (prob) and dispersion parameters of
the negative binomial distribution to a number of summary statistics which
can be calculated analytically given the negative binomial parameters.
One exception is the median which is calculated using qnbinom() as no
analytical form is available.
The parameters are prob and dispersion (which is also commonly
represented as r).
Usage
.convert_params_nbinom(...)
Arguments
...
<dynamic-dots> Numeric named parameter(s)
used to convert to summary statistics. An example is the meanlog and
sdlog parameters of the lognormal (lnorm) distribution.
Value
A list of eight elements including: mean, median, mode,
variance (var), standard deviation (sd), coefficient of variation (cv),
skewness, and ex_kurtosis.
epiparameter documentation built on April 3, 2025, 5:50 p.m.
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| .convert_params_nbinom | R Documentation |
Convert parameters of the negative binomial distribution to summary statistics
Description
Convert the probability (prob) and dispersion parameters of
the negative binomial distribution to a number of summary statistics which
can be calculated analytically given the negative binomial parameters.
One exception is the median which is calculated using qnbinom() as no
analytical form is available.
The parameters are prob and dispersion (which is also commonly
represented as r).
Usage
.convert_params_nbinom(...)
Arguments
... |
< |
Value
A list of eight elements including: mean, median, mode,
variance (var), standard deviation (sd), coefficient of variation (cv),
skewness, and ex_kurtosis.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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