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mvnmle  

ML Estimation for Multivariate Normal Data with Missing Values
View on CRAN: Click here


Download and install mvnmle package within the R console
Install from CRAN:
install.packages("mvnmle")

Install from Github:
library("remotes")
install_github("cran/mvnmle")

Install by package version:
library("remotes")
install_version("mvnmle", "0.1-11.2")



Attach the package and use:
library("mvnmle")
Maintained by
Mao Kobayashi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2001-01-11
Latest Update: 2023-02-27
Description:
Finds the Maximum Likelihood (ML) Estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
How to cite:
Mao Kobayashi (2001). mvnmle: ML Estimation for Multivariate Normal Data with Missing Values. R package version 0.1-11.2, https://cran.r-project.org/web/packages/mvnmle. Accessed 05 Jan. 2025.
Previous versions and publish date:
0.1-2 (2002-09-13 08:54), 0.1-3 (2001-01-11 21:39), 0.1-4 (2002-09-13 08:58), 0.1-5 (2005-04-29 16:16), 0.1-6 (2005-11-29 08:53), 0.1-8 (2008-03-27 15:47), 0.1-10 (2012-10-29 08:59), 0.1-11.1 (2018-05-19 18:32), 0.1-11 (2012-12-21 20:38)
Other packages that cited mvnmle R package
View mvnmle citation profile
Other R packages that mvnmle depends, imports, suggests or enhances
Complete documentation for mvnmle
Functions, R codes and Examples using the mvnmle R package
Some associated functions: apple . getclf . getstartvals . make.del . missvals . mlest . mysort . 
Some associated R codes: data-apple.R . data-missvals.R . getclf.R . getstartvals.R . make.del.R . mlest.R . mysort.R .  Full mvnmle package functions and examples
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