FitMVN {MGMM} | R Documentation |
Fit Multivariate Normal Distribution
Description
Given a matrix of n x d-dimensional random vectors, possibly containing missing elements, estimates the mean and covariance of the best fitting multivariate normal distribution.
Usage
FitMVN(
data,
init_mean = NULL,
fix_mean = FALSE,
init_cov = NULL,
maxit = 100,
eps = 1e-06,
report = TRUE
)
Arguments
data |
Numeric data matrix. |
init_mean |
Optional initial mean vector. |
fix_mean |
Fix the mean to its starting value? Must initialize. |
init_cov |
Optional initial covariance matrix. |
maxit |
Maximum number of EM iterations. |
eps |
Minimum acceptable increment in the EM objective. |
report |
Report fitting progress? |
Value
An object of class mvn
.
[Package MGMM version 1.0.1.1 Index]