Spatial regression in R part 2: INLA

Spatial regression in R part 2: INLA
#rstats training for younger academics at the 2026 Pre-Conference Training at Rivers State University, Port Harcourt today.
CRAN updates: globals #rstats
Gradient-Boosting anything (alert: high performance): Part4, Time series forecasting
https://thierrymoudiki.github.io/blog/2024/11/10/python/r/quasirandomizednn/genboosting-mts
This is how you can rename axis levels in #tidyplots 🎉
{ggindex}: numbered points that explain themselves #rstats #ggplot2
new extension that I think should be useful. based on a long forgotten demo, that I decided to revisit. see more here: discindo.github.io/ggindex/ or discindo.org/posts/2026-1...
the first release is submitted to CRAN.
CRAN updates: rolleigen svrep #rstats
Your model takes an hour to fit. You change a comment in the script, source it again, and wait another hour. `nlmixr2save` will save you!
blog.nlmixr2.org/blog/2026-10...
#pharmacometrics #ACoP2026 #rstats #nlmixr2 #PKPD #reproducibility
CRAN updates: filearray future.callr #rstats
Regression model with auto correlated errors – Part 1, the data
Probabilistic Time Series Forecasting (predictive simulations) in Microsoft Excel using Python, xlwings lite and www.techtonique.net
https://thierrymoudiki.github.io/blog/2025/03/28/python/xlwings-lite-techtonique
CRAN updates: kernreg mlr #rstats
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Reweighting a median in R: the US pay gain since 2000