KSD: demo_simple_gamma – R documentation

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demo_simple_gamma

Tests 1-dimensional Gamma Distribution with customized parameters

Description

We generate a gamma distribution with given parameters, and add gaussian noise to this dataset. We then compute the score of each dataset for the original true distribution.

Usage

demo_simple_gamma(
  trueshape = 10,
  truescale = 3,
  noisemu = 5,
  noisesd = 2,
  n = 100
)

Arguments

`trueshape`	shape of true gamma distribution
`truescale`	scale of true gamma distribution
`noisemu`	mean of gaussian noise to add
`noisesd`	standard deviation of gaussian noise to add
`n`	number of samples to generate

KSD

Goodness-of-Fit Tests using Kernelized Stein Discrepancy

v1.0.1

MIT + file LICENSE

Authors

Min Hyung Kang [aut, cre], Qiang Liu [aut]

Initial release

2021-01-11

demo_simple_gamma

Description

Usage

Arguments

KSD

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