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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 ›
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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 ›
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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 ›
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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 ›
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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 ›
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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 ›
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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 ›
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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 ›
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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 ›
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Conference presentation about the 'distributions3' package for S3 probability distributions (and 'topmodels' for graphical model assessment) at useR! 2022: Slides, video, replication code, and vignette. Read more ›