After all group stage matches at the UEFA Euro 2020 we have updated the knockout stage forecasts by re-training our hybrid random forest model on the extended data. This shows that England profits most from the realized tournament draw. ...

A look back on the group stage of the UEFA Euro 2020 to check whether our hybrid machine learning forecasts based were any good... How surprising was the group stage? Yesterday the group stage of the UEFA Euro 2020 was conclude...

A working paper describing the data and methods used for our probabilistic UEFA Euro 2020 forecast, published earlier this week, is available now. Additionally, details on the predicted performance of all teams during the group stage are prov...

Probabilistic forecasts for the UEFA Euro 2020 are obtained by using a hybrid model that combines data from four advanced statistical models through random forests. The favorite is France, followed by England and Spain. Th...

The ivreg function for instrumental variables regression had first been introduced in the AER package but is now developed and extended in its own package of the same name. This post provides a short overview and illustration. P...

Version 1.0.0 (and actually 1.0.1) of the R package 'networktree' with tools for recursively partitioning covariance structures is now available from CRAN, accompanied by a paper in Psychometrika, and a dedicated software web page. ...

Version 2.0-0 of the R package 'colorspace' with tools for manipulating and assessing colors and palettes is now available from CRAN, accompanied by an updated web page, and a paper in the Journal of Statistical Software (JSS). ...

Version 3.0-0 of the R package 'sandwich' for robust covariance matrix estimation (HC, HAC, clustered, panel, and bootstrap) is now available from CRAN, accompanied by a new web page and a paper in the Journal of Statistical Software (JSS). ...

Version 3.0-0 of the R package 'sandwich' for robust covariance matrix estimation (HC, HAC, clustered, panel, and bootstrap) is now available from CRAN, accompanied by a new web page and a paper in the Journal of Statistical Software (JSS). ...

To capture heterogeneity in structural equation models (SEMs), the model-based recursive partitioning (MOB) algorithm from partykit can be coupled with SEM estimation from lavaan. Motivation Structural equation models (SEMs) ar...

To capture heterogeneity in structural equation models (SEMs), the model-based recursive partitioning (MOB) algorithm from partykit can be coupled with SEM estimation from lavaan. Motivation Structural equation models (SEMs) ar...

The R package lmSubsets for flexible and fast exact variable-subset selection is introduced and illustrated in a weather forecasting case study. Citation Hofmann M, Gatu C, Kontoghiorghes EJ, Colubi A, Zeileis A (2020). “lmSubs...

The R package lmSubsets for flexible and fast exact variable-subset selection is introduced and illustrated in a weather forecasting case study. Citation Hofmann M, Gatu C, Kontoghiorghes EJ, Colubi A, Zeileis A (2020). “lmSubsets: Exact Variable-Subset Selection in Linear Regression for R.” Journal of Statistical Software, 93(3), 1-21. doi:10.18637/jss.v093.i03 ...