lmtp
MicrobiomeStat
lmtp | MicrobiomeStat | |
---|---|---|
1 | 1 | |
53 | 24 | |
- | - | |
5.2 | 9.7 | |
7 days ago | 7 days ago | |
R | R | |
GNU Affero General Public License v3.0 | - |
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lmtp
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[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").
MicrobiomeStat
What are some alternatives?
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
sjPlot - sjPlot - Data Visualization for Statistics in Social Science
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
dada2 - Accurate sample inference from amplicon data with single nucleotide resolution
empress - A fast and scalable phylogenetic tree viewer for microbiome data analysis
vip - Variable Importance Plots (VIPs)
tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting
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)
easystats - :milky_way: The R easystats-project
hal9001 - 🤠📿 The Highly Adaptive Lasso
renjin - JVM-based interpreter for the R language for the statistical analysis.