mice VS miceRanger

Compare mice vs miceRanger and see what are their differences.

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mice miceRanger
2 1
412 61
3.6% -
7.9 0.0
13 days ago over 1 year ago
R R
GNU General Public License v3.0 only 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.

mice

Posts with mentions or reviews of mice. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-14.

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 mice and miceRanger you can also consider the following projects:

mlr3learners - Recommended learners for mlr3

vip - Variable Importance Plots (VIPs)

ggplot2 - An implementation of the Grammar of Graphics in R

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

mlr3 - mlr3: Machine Learning in R - next generation