dmvnorm_rcpp: C++ implementation of multivariate Normal probability density...
In bmcclintock/momentuHMM: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
dmvnorm_rcpp R Documentation
C++ implementation of multivariate Normal probability density function for multiple inputs
Description
C++ implementation of multivariate Normal probability density function for multiple inputs
Usage
dmvnorm_rcpp(x, mean, varcovM)
Arguments
x
data matrix of dimension p x n, p being the dimension of the
data and n the number of data points.
mean
mean vectors matrix of dimension p x n
varcovM
list of length n of variance-covariance matrices,
each of dimensions p x p.
Value
matrix of densities of dimension K x n.
bmcclintock/momentuHMM documentation built on Oct. 26, 2022, 1 a.m.
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| dmvnorm_rcpp | R Documentation |
C++ implementation of multivariate Normal probability density function for multiple inputs
Description
C++ implementation of multivariate Normal probability density function for multiple inputs
Usage
dmvnorm_rcpp(x, mean, varcovM)
Arguments
x |
data matrix of dimension |
mean |
mean vectors matrix of dimension |
varcovM |
list of length |
Value
matrix of densities of dimension K 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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