sjPlot VS lmtp

Compare sjPlot vs lmtp and see what are their differences.

sjPlot

sjPlot - Data Visualization for Statistics in Social Science (by strengejacke)
Statistics Data Visualization R social-sciences Plotting
Source Code
strengejacke.github.io
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lmtp

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball: (by nt-williams)
causal-inference nonparametric-statistics longitudinal-data Statistics Machine Learning robust-statistics targeted-learning censored-data stochastic-interventions survival-analysis modified-treatment-policy precision-medicine
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sjPlot lmtp
2 1
596 53
- -
5.4 5.2
about 1 month ago 3 days ago
R R
- GNU Affero General Public License v3.0
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sjPlot

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

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?
    4 projects | /r/statistics | 12 Sep 2021
    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").

What are some alternatives?

When comparing sjPlot and lmtp you can also consider the following projects:

ggshakeR - An analysis and visualization R package that works with publicly available soccer data

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

renjin - JVM-based interpreter for the R language for the statistical analysis.

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

wesanderson - A Wes Anderson color palette for R

MicrobiomeStat - Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat

biomisc_R - command line bioinformatic scripts written in R

vip - Variable Importance Plots (VIPs)

lego-data - Distribution of colors of various LEGO themes

hermiter - Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)

expotools - Useful methods for Exposome research.

hal9001 - 🤠 📿 The Highly Adaptive Lasso

sjPlot vs ggshakeR lmtp vs causalglm sjPlot vs renjin lmtp vs tmle3mopttx sjPlot vs wesanderson lmtp vs MicrobiomeStat sjPlot vs biomisc_R lmtp vs vip sjPlot vs lego-data lmtp vs hermiter sjPlot vs expotools lmtp vs hal9001