hermiter VS lmtp

Compare hermiter vs lmtp and see what are their differences.

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) (by MikeJaredS)
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hermiter lmtp
3 1
15 53
- -
4.5 4.9
about 2 months ago 2 days ago
R R
GNU General Public License v3.0 or later 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.

hermiter

Posts with mentions or reviews of hermiter. 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 hermiter and lmtp you can also consider the following projects:

biomisc_R - command line bioinformatic scripts written in R

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

rms-letter-comparison - GitHub petitions regarding removal of rms: contributor comparison data and computational analysis

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

tableone - R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

sjPlot - sjPlot - Data Visualization for Statistics in Social Science

miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

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

vip - Variable Importance Plots (VIPs)

hal9001 - 🤠 📿 The Highly Adaptive Lasso