miceRanger
miceRanger: Fast Imputation with Random Forests in R (by FarrellDay)
mlr3learners
Recommended learners for mlr3 (by mlr-org)
| miceRanger | mlr3learners | |
|---|---|---|
| 1 | 1 | |
| 61 | 87 | |
| - | - | |
| 0.0 | 7.4 | |
| over 1 year ago | 4 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
miceRanger
Posts with mentions or reviews of miceRanger.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-14.
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Multiple imputation packages in R
I developed miceRanger because the mice package uses a really slow implementation of random forests. It has a bunch of plotting capabilities and can impute new datasets without re-training the models used in the mice procedure.
mlr3learners
Posts with mentions or reviews of mlr3learners.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing miceRanger and mlr3learners you can also consider the following projects:
mice - Multivariate Imputation by Chained Equations
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
vip - Variable Importance Plots (VIPs)
RubixML - A high-level machine learning and deep learning library for the PHP language.
ggplot2 - An implementation of the Grammar of Graphics in R
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
mlr3 - mlr3: Machine Learning in R - next generation
vswift - Tools created for machine learning model evaluation
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!