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gratia: Graceful ggplot-Based Graphics and Other Functions for GAMs Fitted Using mgcv

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Sep 2021Publisher:Zenodo
Authors: Simpson, Gavin L.;

doi: 10.5281/zenodo.6531907 , 10.5281/zenodo.5998441 , 10.5281/zenodo.7652629 , 10.5281/zenodo.3732560 , 10.5281/zenodo.10889573 , 10.5281/zenodo.12536232 , 10.5281/zenodo.6367058 , 10.5281/zenodo.16941690

gratia: Graceful ggplot-Based Graphics and Other Functions for GAMs Fitted Using mgcv

Abstract

Graceful ggplot-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the mgcv package. Provides a reimplementation of the plot() method for GAMs that mgcv provides, as well as tidyverse- compatible representations of estimated smooths.

To cite package "gratia" in publications use:

Keywords

mgcv, r-package, generalized-additive-models, random-effects, smoothing, glm, ggplot2, gam, lm

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selected citations
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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).
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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.
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