vip VS miceRanger

Compare vip vs miceRanger and see what are their differences.

vip

Variable Importance Plots (VIPs) (by koalaverse)
variable-importance interaction-effect partial-dependence-plot supervised-learning-algorithms Machine Learning variable-importance-plots
Source Code
koalaverse.github.io
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miceRanger

miceRanger: Fast Imputation with Random Forests in R (by FarrellDay)
R mice random-forests missing-data imputation-methods Machine Learning missing-values
Source Code
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vip miceRanger
1 1
186 61
1.1% -
6.5 0.0
6 months ago over 1 year ago
R R
- GNU General Public License v3.0 or later
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.

vip

Posts with mentions or reviews of vip. We have used some of these posts to build our list of alternatives and similar projects.

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.
  • Multiple imputation packages in R
    2 projects | /r/Rlanguage | 14 Sep 2021
    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.

What are some alternatives?

When comparing vip and miceRanger you can also consider the following projects:

ParBayesianOptimization - Parallelizable Bayesian Optimization in R

mice - Multivariate Imputation by Chained Equations

aps2020 - Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics

mlr3learners - Recommended learners for mlr3

tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention

ggplot2 - An implementation of the Grammar of Graphics in R

lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning

mlr3 - mlr3: Machine Learning in R - next generation

textfeatures - 👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

vip vs ParBayesianOptimization miceRanger vs mice vip vs aps2020 miceRanger vs mlr3learners vip vs tmle3mopttx miceRanger vs ggplot2 vip vs lmtp miceRanger vs tweetbotornot vip vs mlr3learners miceRanger vs mlr3 vip vs textfeatures