Symlognpdf: computes a special case of log normal distribution density
In AdaptGauss: Gaussian Mixture Models (GMM)
Description
Usage
Arguments
Value
Note
See Also
Description
Symlognpdf is an internal function for AdaptLGL.
Usage
1
Symlognpdf(Data, Mean, SD)
Arguments
Data
vector of data points used for sampling
Mean
Mean of log Gaussian
SD
Standard deviation of log Gaussian
Value
M>0 Log normal distribution density
M<0 Log normal distribution density mirrored at y axis
Note
not for external usage.
See Also
AdaptLGL AdaptLGL
AdaptGauss documentation built on March 26, 2020, 7:57 p.m.
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Description Usage Arguments Value Note See Also
Description
Symlognpdf is an internal function for AdaptLGL.
Usage
1 | Symlognpdf(Data, Mean, SD)
|
Arguments
Data |
vector of data points used for sampling |
Mean |
Mean of log Gaussian |
SD |
Standard deviation of log Gaussian |
Value
M>0 Log normal distribution density
M<0 Log normal distribution density mirrored at y axis
Note
not for external usage.
See Also
AdaptLGL AdaptLGL
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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