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tidyvpc  

VPC Percentiles and Prediction Intervals
View on CRAN: Click here


Download and install tidyvpc package within the R console
Install from CRAN:
install.packages("tidyvpc")

Install from Github:
library("remotes")
install_github("cran/tidyvpc")

Install by package version:
library("remotes")
install_version("tidyvpc", "1.5.2")



Attach the package and use:
library("tidyvpc")
Maintained by
James Craig
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-26
Latest Update: 2024-01-18
Description:
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) <doi:10.1002/psp4.12319> with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.
How to cite:
James Craig (2020). tidyvpc: VPC Percentiles and Prediction Intervals. R package version 1.5.2, https://cran.r-project.org/web/packages/tidyvpc. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2020-03-26 11:10), 1.1.0 (2020-09-29 09:00), 1.2.0 (2021-10-01 09:40), 1.3.0 (2022-03-10 23:10), 1.4.0 (2022-10-27 22:20), 1.5.0 (2023-10-30 16:10), 1.5.1 (2024-01-18 14:10)
Other packages that cited tidyvpc R package
View tidyvpc citation profile
Other R packages that tidyvpc depends, imports, suggests or enhances
Complete documentation for tidyvpc
Functions, R codes and Examples using the tidyvpc R package
Some associated functions: bininfo . binless . binning . binningfunctions . censoring . check_order . generics . nopredcorrect . npde . obs_cat_data . obs_data . observed . plot.tidyvpcobj . predcorrect . print.tidyvpcobj . sim_cat_data . sim_data . simulated . stratify . vpcstats . 
Some associated R codes: binless.R . data.R . npde.R . plot.R . vpcstats.R . vpcstats_fun.R .  Full tidyvpc package functions and examples
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