Subgroup detection in linear growth curve models
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New arXiv working paper showing how generalized linear mixed effects model (GLMM) trees, along with their R implementation in the glmertree package, can be used to identify subgroups with differently shaped trajectories in linear growth curve models. Read more ›
Probabilistic forecasting for the FIFA Women's World Cup 2023
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Winning probabilities for all teams in the FIFA Women's World Cup are obtained using a consensus model based on quoted bookmakers' odds. The favorite is defending World Champion United States, followed by European Champion England, and Spain. Read more ›
Tree models for assessing covariate-dependent method agreement
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New arXiv working paper introducing conditional method agreement trees (COAT) which can capture the dependency of a Bland-Altman analysis on covariates. It is ccompanied by an R implementation in the CRAN package coat. Read more ›
CRAN Task Views: The next generation
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New arXiv working paper on the relaunch of the CRAN Task View Initiative providing better infrastructure and workflows for proposing and maintaining CRAN Task Views and fostering interactions with the R community. Read more ›
Color vision deficiency emulation fixed in colorspace 2.1-0
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The color vision deficiency emulation provided by R package colorspace was inaccurate for some highly-saturated colors due to a bug that was fixed in version 2.1-0. The (typically small) differences are illustrated for a range of palettes. Read more ›
Coloring in R's blind spot
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New arXiv working paper on the new color palette functions palette.colors() and hcl.colors() in base R since version 4.0.0. Read more ›
Amplification of Lightning in the European Alps 1980-2019
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Detailed measurements of lightning as well as reanalyses of atmospheric conditions enable the reconstruction of lightning probabilities over large spatial and temporal domains. Using flexible additive regression models it is shown that lightning activity in the high European Alps has doubled from the 1980s to the 2010s. Read more ›
Machine learning of a 2022 FIFA World Cup multiverse
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Probabilistic forecasts for the 2022 FIFA World Cup are obtained by using a hybrid model that combines data from three advanced statistical models through random forests. The favorite is Brazil, followed by Argentina, Netherlands, Germany, and France. Read more ›
Probabilistic forecasting for the UEFA Women's Euro 2022
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Using a consensus model based on quoted bookmakers' odds winning probabilities for all competing teams in the UEFA Women's Euro are obtained: The favorite is Spain, followed by host England, France, and the Netherlands as the defending champion. Read more ›
Model-based causal forests for heterogeneous treatment effects
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A new arXiv paper investigates which building blocks of random forests, especially causal forests and model-based forests, make them work for heterogeneous treatment effect estimation, both in randomized trials and observational studies. Read more ›