Nothing
mvnmle: ML Estimation for Multivariate Normal Data with Missing Values
Finds the Maximum Likelihood (ML) Estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Kevin Gross [aut] (<https://orcid.org/0000-0001-5612-7519>), Douglas Bates [aut], Mao Kobayashi [cre] |
| Maintainer | Mao Kobayashi <kobamao.jp@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1-11.2 |
| URL | https://github.com/indenkun/mvnmle |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mvnmle package in your browser
Any scripts or data that you put into this service are public.
