drchisq: Distributional random number generation (equivalent to...
In rothenhaeusler/calinf: Calibrated inference: inference that accounts for both sampling and distributional uncertainty
View source: R/distributional_uncertainty.R
drchisq R Documentation
Distributional random number generation (equivalent to rchisq)
Description
Distributional random number generation (equivalent to rchisq)
Usage
drchisq(d_seed, df)
Arguments
d_seed
A distributional seed as returned by distributional_seed()
df
degrees of freedom
Examples
d_seed <- distributional_seed(1000,10)
drchisq(d_seed)
rothenhaeusler/calinf documentation built on May 2, 2022, 12:44 p.m.
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View source: R/distributional_uncertainty.R
| drchisq | R Documentation |
Distributional random number generation (equivalent to rchisq)
Description
Distributional random number generation (equivalent to rchisq)
Usage
drchisq(d_seed, df)
Arguments
d_seed |
A distributional seed as returned by distributional_seed() |
df |
degrees of freedom |
Examples
d_seed <- distributional_seed(1000,10) drchisq(d_seed)
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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