Publications by Achim Zeileis
colorspace: New Tools for Colors and Palettes
A major update (version 1.4.0) of the R package colorspace has been released to CRAN, enhancing many of the package’s capabilities, e.g., more refined palettes, named palettes, ggplot2 color scales, visualizations for assessing palettes, shiny and Tcl/Tk apps, color vision deficiency emulation, and much more. Overview The colorspace package pro...
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Spatial lag model trees
Economic growth models are recursively partitioned to assess heterogeneity in growth and convergence across EU regions while adjusting for spatial dependencies. Accompanied by R package lagsarlmtree, combining partykit::mob and spdep::lagsarlm. Citation Martin Wagner, Achim Zeileis (2019). “Heterogeneity and Spatial Dependence of Regional Growt...
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Online color apps at hclwizard.org
The hclwizard.org web page has been relaunched, hosting three online color apps based on the HCL (Hue-Chroma-Luminance) color model: a palette constructor, a color vision deficiency emulator, and a color picker. HCL wizard: Somewhere over the rainbow The web page http://hclwizard.org/ had originally been started to accompany the manuscript: “So...
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At the end of the rainbow
Fully saturated RGB rainbow colors are still widely used in scientific visualizations despite their widely-recognized disadvantages. A recent wild-caught example is presented, showing its limitations along with a better HCL-based alternative palette. #endrainbow The go-to palette in many software packages is – or used to be until rather recentl...
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Personalized treatment effects with model4you
Personalized treatment effects can be estimated easily with model-based trees and model-based random forests using the R package model4you. Citation Heidi Seibold, Achim Zeileis, Torsten Hothorn (2019). “model4you: An R Package for Personalised Treatment Effect Estimation.” Journal of Open Research Software, 7(17), 1-6. doi:10.5334/jors.219 A...
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Hybrid Machine Learning Forecasts for the 2019 FIFA Women’s World Cup
Using a random forest ensemble learner we obtain probabilistic forecasts for the FIFA Women’s World Cup in France: The clear favorite is defending champion USA followed, with some margin, by host France, England, and Germany. The 2019 FIFA Women’s World Cup will take place in France from 7 June to 7 July 2019. 24 of the best teams from 6 c...
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The power of unbiased recursive partitioning
The significance tests underlying the unbiased tree algorithms CTree, MOB, and GUIDE are embedded into a unifying framework. This allows to assess relative strengths and weaknesses in a variety of setups, highlighting the advantages of score-based tests (as in CTree/MOB) vs. residual-based tests (as in GUIDE). Citation Schlosser L, Hothorn T, Ze...
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The power of unbiased recursive partitioning
The significance tests underlying the unbiased tree algorithms CTree, MOB, and GUIDE are embedded into a unifying framework. This allows to assess relative strengths and weaknesses in a variety of setups, highlighting the advantages of score-based tests (as in CTree/MOB) vs. residual-based tests (as in GUIDE). Citation Schlosser L, Hothorn T, Ze...
9593 sym 4 img 2 tbl
The power of unbiased recursive partitioning
The significance tests underlying the unbiased tree algorithms CTree, MOB, and GUIDE are embedded into a unifying framework. This allows to assess relative strengths and weaknesses in a variety of setups, highlighting the advantages of score-based tests (as in CTree/MOB) vs. residual-based tests (as in GUIDE). Citation Schlosser L, Hothorn T, Ze...
9593 sym 4 img 2 tbl
Network model trees
The effect of covariates on correlations in psychometric networks is assessed with either model-based recursive partitioning (MOB) or conditional inference trees (CTree). Citation Jones PJ, Mair P, Simon T, Zeileis A (2019). “Network Model Trees”, OSF ha4cw, OSF Preprints. doi:10.31219/osf.io/ha4cw Abstract In many areas of psychology, correl...
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