dnorm_rank1: Multivariate normal density at mean 0 and a covariance that...
In dcgerard/UltimateDeconvolution: Deconvolution Problem in Multivariate Gaussian Mixtures
Description
Usage
Arguments
Author(s)
Description
Multivariate normal density at mean 0 and a covariance that is the sum
of a rank-1 matrix and a diagonal matrix.
Usage
1
dnorm_rank1(x, v, s_diag, mu, return_log = FALSE)
Arguments
x
The data.
v
The square-root of the rank-1 matrix.
s_diag
The diagonal elements of the diagonal component of the
covariance matrix.
mu
The mean. Defaults to 0.
return_log
Should we return the log-density (TRUE) or not (FALSE)?
Author(s)
David Gerard
dcgerard/UltimateDeconvolution documentation built on May 15, 2019, 1:24 a.m.
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Description Usage Arguments Author(s)
Description
Multivariate normal density at mean 0 and a covariance that is the sum of a rank-1 matrix and a diagonal matrix.
Usage
1 | dnorm_rank1(x, v, s_diag, mu, return_log = FALSE)
|
Arguments
x |
The data. |
v |
The square-root of the rank-1 matrix. |
s_diag |
The diagonal elements of the diagonal component of the covariance matrix. |
mu |
The mean. Defaults to 0. |
return_log |
Should we return the log-density ( |
Author(s)
David Gerard
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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