#rstats developer | geospatial engineering | soil microbiome and crop health mapping | product development
https://github.com/BlasBenito - www.blasbenito.com
This #rstats package automates multicollinearity management to improve model robustness and interpretability.
You can learn more at blasbenito.github.io/collinear/, but here's a summary of the most exciting new features: 🧵 1/5
Version 1.1.5 🚑, now available on CRAN, patches issues introduced by recent API changes across several dependencies.
A development roadmap for the coming months is available here:: blasbenito.github.io/spatialRF/ar...
#rstats
Version 1.1.5 🚑, now available on CRAN, patches issues introduced by recent API changes across several dependencies.
A development roadmap for the coming months is available here:: blasbenito.github.io/spatialRF/ar...
#rstats
Life balances itself in weird ways.
Life balances itself in weird ways.
Currently I have two subagents under testing:
- Roxy: reviews and edits roxygen docs. Knows how to hit the rate limit.
- CRANcop: ensures CRAN compliance (or so it hopes).
Currently I have two subagents under testing:
- Roxy: reviews and edits roxygen docs. Knows how to hit the rate limit.
- CRANcop: ensures CRAN compliance (or so it hopes).
github.com/OSGeo/gdal/i...
#rstats #python
github.com/OSGeo/gdal/i...
#rstats #python
The guy really sells it here. I still chuckle when I remember it!
The guy really sells it here. I still chuckle when I remember it!
The level of honesty about their engineering processes and culture was refreshing. That is rare and I loved it!
Let's see where this goes.
The level of honesty about their engineering processes and culture was refreshing. That is rare and I loved it!
Let's see where this goes.
What was the first thing that made you say, "How cool would it be if I knew some R?"
For that, I created a quick poll: www.linkedin.com/feed/update/...
What was the first thing that made you say, "How cool would it be if I knew some R?"
For that, I created a quick poll: www.linkedin.com/feed/update/...
peerj.com/articles/203...
We've already been working on even more features, so I suppose eventually a 3.0 paper will have to follow... 🙃
peerj.com/articles/203...
We've already been working on even more features, so I suppose eventually a 3.0 paper will have to follow... 🙃
One second you find out Bender has a cute firstborn, and a second before you can even assimilate it he's dumping the little dude in the fires of robohell.
One second you find out Bender has a cute firstborn, and a second before you can even assimilate it he's dumping the little dude in the fires of robohell.
My guide to data visualization, which includes a very long table of contents, tons of charts, and more.
--> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful.
www.scientificdiscovery.dev/p/salonis-gu...
My guide to data visualization, which includes a very long table of contents, tons of charts, and more.
--> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful.
www.scientificdiscovery.dev/p/salonis-gu...
The agrometeorological dataset AgERA5 (URL: cds.climate.copernicus.eu/datasets/sis...) goes off technical support.
The agrometeorological dataset AgERA5 (URL: cds.climate.copernicus.eu/datasets/sis...) goes off technical support.
This #rstats package automates multicollinearity management to improve model robustness and interpretability.
You can learn more at blasbenito.github.io/collinear/, but here's a summary of the most exciting new features: 🧵 1/5
This #rstats package automates multicollinearity management to improve model robustness and interpretability.
You can learn more at blasbenito.github.io/collinear/, but here's a summary of the most exciting new features: 🧵 1/5
This #rstats package automates multicollinearity management to improve model robustness and interpretability.
You can learn more at blasbenito.github.io/collinear/, but here's a summary of the most exciting new features: 🧵 1/5
This #rstats package automates multicollinearity management to improve model robustness and interpretability.
You can learn more at blasbenito.github.io/collinear/, but here's a summary of the most exciting new features: 🧵 1/5