tmle3mopttx VS miceRanger

Compare tmle3mopttx vs miceRanger and see what are their differences.

tmle3mopttx

🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention (by tlverse)

miceRanger

miceRanger: Fast Imputation with Random Forests in R (by FarrellDay)
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tmle3mopttx miceRanger
1 1
10 61
- -
0.0 0.0
over 1 year 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.

tmle3mopttx

Posts with mentions or reviews of tmle3mopttx. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning tmle3mopttx yet.
Tracking mentions began in Dec 2020.

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 tmle3mopttx and miceRanger you can also consider the following projects:

mice - Multivariate Imputation by Chained Equations

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

vip - Variable Importance Plots (VIPs)

mlr3learners - Recommended learners for mlr3

ParBayesianOptimization - Parallelizable Bayesian Optimization in R

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

causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

mlr3 - mlr3: Machine Learning in R - next generation

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

ggplot2 - An implementation of the Grammar of Graphics in R