Tag: R. Page 2
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 ›
Network trees: networktree 1.0.0, web page, and Psychometrika paper
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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. Read more ›
Bias reduction in Poisson and Tobit regression
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While it is well-known that data separation can cause infinite estimates in binary regression models, the same is also true for other models with a point mass at the bounday (typically at zero) such as Poisson and Tobit. It is shown why this happens and how it can be remedied with bias-reduced estimation, along with implementations in R. Read more ›
Tools for colors and palettes: colorspace 2.0-0, web page, and JSS paper
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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). Read more ›
Robust covariance matrix estimation: sandwich 3.0-0, web page, JSS paper
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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). Read more ›
Structural equation model trees with partykit and lavaan
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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. Read more ›
lmSubsets: Exact variable-subset selection in linear regression
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The R package lmSubsets for flexible and fast exact variable-subset selection is introduced and illustrated in a weather forecasting case study. Read more ›