Overview | Basic model prediction | Plot predicted values | Models with by-variables | Models with factor interactions | Models with factor smooth interactions (bs = "fs")
Package: tidygam 1.0.0
Stefano Coretta
tidygam: Tidy Prediction and Plotting of Generalised Additive Models
Provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble. These can be plotted with a generic plot()-method that uses 'ggplot2' or plotted as any other data frame. The main function is predict_gam().
Authors:
tidygam_1.0.0.tar.gz
tidygam_1.0.0.zip(r-4.7)tidygam_1.0.0.zip(r-4.6)tidygam_1.0.0.zip(r-4.5)
tidygam_1.0.0.tgz(r-4.6-any)tidygam_1.0.0.tgz(r-4.5-any)
tidygam_1.0.0.tar.gz(r-4.7-any)tidygam_1.0.0.tar.gz(r-4.6-any)
tidygam_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tidygam/json (API)
| # Install 'tidygam' in R: |
| install.packages('tidygam', repos = c('https://stefanocoretta.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stefanocoretta/tidygam/issues
Pkgdown/docs site:https://stefanocoretta.github.io
Datasets:
Last updated from:aa397b22b3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 152 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 125 | ||
| macos-oldrel-arm64 | OK | 90 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 106 |
Exports:%>%get_differencepredict_gam
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableinsightisobandlabelinglatticelifecyclemagrittrMatrixmgcvnlmepillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Number of gestures by infants at 10, 11 and 12 months | gest |
| Get difference between two smooths | get_difference |
| Plot methods for tidygam objects | plot.tidygam |
| Plot methods for tidygam.diff objects | plot.tidygam.diff |
| Get predictions from a GAM model | predict_gam |
| ERP to structural violation in music and language | struct |