tidyvpc (1.0.0)

0 users

VPC Percentiles and Prediction Intervals.

https://github.com/jameswcraig/tidyvpc
http://cran.r-project.org/web/packages/tidyvpc

Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from 'magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.

Maintainer: James Craig
Author(s): Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre], Samer Mouksassi [aut], Kris Jamsen [ctb]

License: MIT + file LICENSE

Uses: data.table, magrittr, quantreg, rlang, KernSmooth, classInt, cluster, ggplot2, knitr, shiny, rmarkdown, remotes, vpc

Released 11 days ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of tidyvpc yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for tidyvpc on google, google scholar, r-help, r-devel.

Visit tidyvpc on R Graphical Manual.