norm: Analysis of Multivariate Normal Datasets with Missing Values
An integrated set of functions for the analysis of
multivariate normal datasets with missing values, including implementation of
the EM algorithm, data augmentation, and multiple imputation.
| Version: |
1.0-10.0 |
| Imports: |
stats |
| Published: |
2022-04-03 |
| Author: |
Ported to R by Alvaro A. Novo.
Original by Joseph L. Schafer. |
| Maintainer: |
John Fox <jfox at mcmaster.ca> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| In views: |
MissingData |
| CRAN checks: |
norm results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
imp4p, imputeLCMD |
| Reverse imports: |
misaem, misty, mlmi, modi, MultiVarMI, naniar, psfmi, rrcovNA, simputation |
| Reverse suggests: |
DAPAR, missMethods, miWQS, MsCoreUtils, MSnbase, QFeatures |
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