| Name : R-rMIDAS
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:38:21
|
| Group : Development/Libraries/Other
| Source RPM : R-rMIDAS-1.0.0-lp153.1.5.src.rpm
|
| Size : 0.46 MB
| |
| Packager : (none)
| |
| Summary : Multiple Imputation with Denoising Autoencoders
|
Description :
A tool for multiply imputing missing data using \'MIDAS\', a deep
learning method based on denoising autoencoder neural networks (see
Lall and Robinson, 2022; < doi:10.1017/pan.2020.49>). This algorithm
offers significant accuracy and efficiency advantages over other
multiple imputation strategies, particularly when applied to large
datasets with complex features. Alongside interfacing with \'Python\' to
run the core algorithm, this package contains functions for processing
data before and after model training, running imputation model
diagnostics, generating multiple completed datasets, and estimating
regression models on these datasets. For more information see Lall and
Robinson (2023) < doi:10.18637/jss.v107.i09>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
