{ggdist}: Visualizations of distributions and uncertainty #rstats #ggplot
Visualizations of Distributions and UncertaintyProvides primitives for visualizing distributions using ggplot2 that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (S…
from my link log —Debootstrapping without archeology: stacked implementations in Camlboot.https://arxiv.org/abs/2202.09231saved 2026-06-10 https://d…
Debootstrapping without Archeology: Stacked Implementations in CamlbootContext: It is common for programming languages that their reference implementation is implemented in the language itself. This requires a "bootstrap": a copy of a previous version of the implementation is provided along with the sources, to be able to run the implementation itself. Those bootstrap files are opaque binaries; they could contain bugs, or even malicious changes that could reproduce themselves when running the source version of the language implementation -- this is called the "tru…
That peace of mind that comes when you finally manage to "bootstrap" all your infrastructure via #IaaC on your own infrastructure 🧘 #devops