lmtp
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball: (by nt-williams)
sjPlot
sjPlot - Data Visualization for Statistics in Social Science (by strengejacke)
lmtp | sjPlot | |
---|---|---|
1 | 2 | |
53 | 596 | |
- | - | |
4.9 | 5.4 | |
about 14 hours ago | about 1 month ago | |
R | R | |
GNU Affero General Public License v3.0 | - |
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.
lmtp
Posts with mentions or reviews of lmtp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-12.
-
[Q] Should G-methods, IPTW always be used over traditional regression?
The tlverse/sl3 super learner library is much better integrated and a lot more powerful (a bit more complicated in the beginning but once you understand it, its great). LMTP has a separate branch that uses sl3: https://github.com/nt-williams/lmtp/tree/sl3-devel. To specify formulas is sl3, you just do Lrnr_glmnet$new(formula = ~ 1 + W + A + A*W), but make sure to download the "dev" version: devtools::install_github("tlverse/sl3", ref = "devel").
sjPlot
Posts with mentions or reviews of sjPlot.
We have used some of these posts to build our list of alternatives
and similar projects.
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plot selected terms from zero inflated negative binomial regression
Not really an answer, but you could mail the author or submit an issue on github.
- How does sjPlot calculate the variance?
What are some alternatives?
When comparing lmtp and sjPlot you can also consider the following projects:
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
ggshakeR - An analysis and visualization R package that works with publicly available soccer data
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
renjin - JVM-based interpreter for the R language for the statistical analysis.
MicrobiomeStat - Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat
wesanderson - A Wes Anderson color palette for R