parkinson

<p>This dataset contains a range of biomedical voice measurements from 31 people, 23 with 
Parkinson's disease. Each row corresponds to one of 195 individuals and each column a
measurement variable. This data was originally obtaind from the UCI Machine Learning Repository.
For detailed information about the columns, see the reference and the source below. 
In the study of simulation, this dataset can be treated as continuous-only data</p>

datasets

Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.

Steffen Moritz

imputeR

A General Multivariate Imputation Framework

Lingbing Feng

Gen Nowak

Alan. H. Welsh

Terry. J. O'Neill

parkinson function

<p>A data frame with 195 rows and 22 variables</p>

Format

Parkinsons Data Set — parkinson

Parkinsons Data Set

parkinson: Parkinsons Data Set

Description

Arguments

Format

Details

References