tableone VS hermiter

Compare tableone vs hermiter and see what are their differences.

tableone

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting (by kaz-yos)

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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tableone hermiter
3 3
203 15
- -
0.0 4.5
12 months ago about 2 months ago
R R
- 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.

tableone

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

hermiter

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

What are some alternatives?

When comparing tableone and hermiter you can also consider the following projects:

RobinHood - An R interface for the RobinHood.com no commision investing site

biomisc_R - command line bioinformatic scripts written in R

hts - Hierarchical and Grouped Time Series

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

littler - A scripting and command-line front-end for GNU R

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

meta - Official Git repository of R package meta

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

collapse - Advanced and Fast Data Transformation in R

sjPlot - sjPlot - Data Visualization for Statistics in Social Science

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

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