Tag: R

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 ›

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 ›

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 ›

distributions3 @ useR! 2022

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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 ›

The Poisson distribution: From basic probability theory to regression models

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Brief introduction to the Poisson distribution for modeling count data using the distributions3 package. The distribution is illustrated using the number of goals scored at the 2018 FIFA World Cup, suitable for self-study or as a classroom exercise. Read more ›

ivreg: Two-stage least-squares regression with diagnostics

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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. Read more ›