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sjstats: Statistical Functions for Regression Models.

Authors: Daniel Lüdecke;

sjstats: Statistical Functions for Regression Models.

Abstract

General Revised help-files for r2() and icc(), also by adding more references. New functions re_grp_var() to find group factors of random effects in mixed models. Changes to functions omega_sq() and eta_sq() give more informative messages when using non-supported objects. r2() and icc() give more informative warnings and messages. tidy_stan() supports printing simplex parameters of monotonic effects of brms models. grpmean() and mwu() get a file and encoding argument, to save the HTML output as file. Bug fixes model_frame() now correctly names the offset-columns for terms provided as offset-argument (i.e. for models where the offset was not specified inside the formula). Fixed issue with weights-argument in grpmean() when variable name was passed as character vector. Fixed issue with r2() for glmmTMB models with ar1 random effects structure.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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91
Top 1%
Top 10%
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314
4