dmixnorm: Density for normal mixtures
In thiyangt/fformpp: Feature-based FORecast Model Performance Prediction
dmixnorm R Documentation
Density for normal mixtures
Description
Density for univariate and multivariate mixture normal distribution
Usage
dmixnorm(x, means, sigmas, weights, log = FALSE)
Arguments
means
A 'q-by-k' matrix. Mean value vector within each component in total k
components.
sigmas
A 'q-by-q-by-k' array. Variance covariance matrix with in each
component.
weights
A 'k'-length vector. The weight in each component.
n
An positive integer. Numbers of samples to be generated.
Details
Density from mixture of normals.
Value
An 'n-by-q' matrix
Author(s)
Feng Li, Central University of Finance and Economics.
References
Villani et al 2009
thiyangt/fformpp documentation built on Jan. 5, 2024, 5:44 a.m.
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| dmixnorm | R Documentation |
Density for normal mixtures
Description
Density for univariate and multivariate mixture normal distribution
Usage
dmixnorm(x, means, sigmas, weights, log = FALSE)
Arguments
means |
A 'q-by-k' matrix. Mean value vector within each component in total k components. |
sigmas |
A 'q-by-q-by-k' array. Variance covariance matrix with in each component. |
weights |
A 'k'-length vector. The weight in each component. |
n |
An positive integer. Numbers of samples to be generated. |
Details
Density from mixture of normals.
Value
An 'n-by-q' matrix
Author(s)
Feng Li, Central University of Finance and Economics.
References
Villani et al 2009
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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