View source: R/demo_simple_gmm.R
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.
1 2 3 4 5 6 7 | demo_simple_gamma(
trueshape = 10,
truescale = 3,
noisemu = 5,
noisesd = 2,
n = 100
)
|
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 |
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