Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1186/s12874-020-01080-1

https://doi.org/10.1186/s12874-020-01080-1

Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction

Cited by: 68
Author(s): Shangzhi Hong, Henry Lynn
Published: over 4 years ago

Software Mentions 5

cran: CALIBERrfimpute
Multiple Imputation Using MICE and Random Forest
Papers that mentioned: 2
cran: mice
Multivariate Imputation by Chained Equations
Papers that mentioned: 455
cran: missForest
Nonparametric Missing Value Imputation using Random Forest
Papers that mentioned: 178
pypi: mice
Multi-iteration Stochastic Estimator
Papers that mentioned: 455
pypi: MissForest
Best imputation method.
Papers that mentioned: 52