mle_truncgauss: Maximum likelihood estimation of truncated Gaussian on half...
In mig: Multivariate Inverse Gaussian Distribution
mle_truncgauss R Documentation
Maximum likelihood estimation of truncated Gaussian on half space
Description
Given a data matrix and a vector of linear constraints for the half-space,
we compute the maximum likelihood estimator of the location and scale matrix
Usage
mle_truncgauss(xdat, beta)
Arguments
xdat
matrix of observations
beta
vector of constraints defining the half-space
Value
a list with location vector loc and scale matrix scale
mig documentation built on April 11, 2025, 5:45 p.m.
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| mle_truncgauss | R Documentation |
Maximum likelihood estimation of truncated Gaussian on half space
Description
Given a data matrix and a vector of linear constraints for the half-space, we compute the maximum likelihood estimator of the location and scale matrix
Usage
mle_truncgauss(xdat, beta)
Arguments
xdat |
matrix of observations |
beta |
vector of constraints defining the half-space |
Value
a list with location vector loc and scale matrix scale
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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