HydroState VS expotools

Compare HydroState vs expotools and see what are their differences.

HydroState

An R package for identifying regime change in streamflow. (by peterson-tim-j)

expotools

Useful methods for Exposome research. (by lorenzoFabbri)
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HydroState expotools
1 1
9 0
- -
4.6 3.1
5 months ago almost 3 years ago
R R
- GNU General Public License v3.0 only
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.

HydroState

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

expotools

Posts with mentions or reviews of expotools. We have used some of these posts to build our list of alternatives and similar projects.
  • R-CMD-check fails on GitHub but not locally
    1 project | /r/github | 1 Aug 2021
    I am trying to write an R package and today, just for fun, I tried to create a webpage for it using pkgdown. Well, It's not working. Locally, I get no errors with devtools::check.rhub() and Check package. But when I push it to GitHub, all the R-CMD-check fail (see image). What am I doing wrong? Thank you for any suggestion.

What are some alternatives?

When comparing HydroState and expotools you can also consider the following projects:

sjPlot - sjPlot - Data Visualization for Statistics in Social Science

pagedown - Paginate the HTML Output of R Markdown with CSS for Print

bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

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

sf - Simple Features for R

drake - An R-focused pipeline toolkit for reproducibility and high-performance computing

rmarkdown - Dynamic Documents for R

shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds

rtweet - 🐦 R client for interacting with Twitter's [stream and REST] APIs