skip_if_no_numpy

<p>Check if Python's numpy is available, and skip test if not.
This function is called within some tests to ensure server tests involving <code>reticulate</code> calls execute properly.</p>

setup

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>.

Thomas Robinson

rMIDAS

Multiple Imputation with Denoising Autoencoders

Ranjit Lall

Alex Stenlake

Elviss Dvinskis

skip_if_no_numpy function

Skip test where 'numpy' not available. — skip_if_no_numpy

Skip test where 'numpy' not available.

skip_if_no_numpy: Skip test where 'numpy' not available.

Description

Usage

Arguments

Value