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www.r-statistics.com
| | www.r-spatial.org
3.1 parsecs away

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| | Using data.table and Rcpp to scale geo-spatial analysis with sfview raw RmdThe backgroundAt the beginning of 2017 I left academia to wor...
| | genentech.github.io
10.3 parsecs away

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| | [AI summary] The user provided a list of R packages and their versions, along with some code and session information. They seem to be working on a project that involves Bayesian modeling, specifically with Stan and RStanemax, and are using several tidyverse packages for data manipulation and visualization. The user may be encountering an issue with their R environment or package dependencies, as there are some question marks and a request for help in the query. They might need assistance with installing or updating packages, resolving conflicts, or understanding the output of their Bayesian models.
| | timogrossenbacher.ch
3.3 parsecs away

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| | This post guides you through creating a beautiful, bivariate thematic map using solely two R packages, ggplot2 and sf.
| | www.rdatagen.net
26.0 parsecs away

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| Inspired by a free online course titled Complier Average Causal Effects (CACE) Analysis and taught by Booil Jo and Elizabeth Stuart (through Johns Hopkins University), I've decided to explore the topic a little bit. My goal here isn't to explain CACE analysis in extensive detail (you should definitely go take the course for that), but to describe the problem generally and then (of course) simulate some data. A plot of the simulated data gives a sense of what we are estimating and assuming.