dgmm: Probability density function for Gaussian mixtures
In shill1729/findistr: Common distributions used in finance
dgmm R Documentation
Probability density function for Gaussian mixtures
Description
A mixture model of PDFs is a probabilistic weighted sum of individual PDFs
Usage
dgmm(x, p, mus, sigmas)
Arguments
x
the real variable argument of the PDF
p
component probabilities
mus
component means
sigmas
component standard deviations
Value
numeric
shill1729/findistr documentation built on May 20, 2024, 9:43 a.m.
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| dgmm | R Documentation |
Probability density function for Gaussian mixtures
Description
A mixture model of PDFs is a probabilistic weighted sum of individual PDFs
Usage
dgmm(x, p, mus, sigmas)
Arguments
x |
the real variable argument of the PDF |
p |
component probabilities |
mus |
component means |
sigmas |
component standard deviations |
Value
numeric
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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