dnormC_multi: C++ implementation of univariate Normal of mean zero pdf for...
In stepcie/sslcov: Semi-Supervised Estimation Of Covariance
Description
Usage
Arguments
Value
Description
C++ implementation of univariate Normal of mean zero pdf for multiple inputs
Usage
1
dnormC_multi(x, m, sd, Log = FALSE)
Arguments
x
vector of inputs
m
vector of means
sd
the standard deviation
Log
logical flag for returning the log of the probability density
function. Defaults is TRUE
Value
matrix of densities of dimension p x n.
stepcie/sslcov documentation built on May 30, 2019, 2:39 p.m.
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Description Usage Arguments Value
Description
C++ implementation of univariate Normal of mean zero pdf for multiple inputs
Usage
1 | dnormC_multi(x, m, sd, Log = FALSE)
|
Arguments
x |
vector of inputs |
m |
vector of means |
sd |
the standard deviation |
Log |
logical flag for returning the log of the probability density
function. Defaults is |
Value
matrix of densities of dimension p x n.
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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