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Complier average causal effect? Exploring what we learn from an RCT with participants who don't do what they are told - ouR data generation
| | easystats.github.io
New formatting features in the parameters package easystats
3.4 parsecs away

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| | You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models.
| | aosmith.rbind.io
Simulate! Simulate! - Part 1: A linear model
2.5 parsecs away

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| | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation.
| | juliasilge.com
Bootstrap confidence intervals for #TidyTuesday Super Bowl commercials | Julia Silge
2.6 parsecs away

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| | A data science blog
| | apoorvasrinivasanblog.com
[No title]
26.1 parsecs away

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| [AI summary] This blog post introduces the concept of hypothesis testing in statistics, explaining its purpose, key components, and steps to conduct a hypothesis test using an example about coffee and height.