Other packages > Find by keyword >

PVplr  

Performance Loss Rate Analysis Pipeline
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PVplr", "0.1.2")



Attach the package and use:
library("PVplr")
Maintained by
Roger French
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-07
Latest Update:
Description:
The pipeline contained in this package provides tools used in the Solar Durability and Lifetime Extension Center (SDLE) for the analysis of Performance Loss Rates (PLR) in real world photovoltaic systems. Functions included allow for data cleaning, feature correction, power predictive modeling, PLR determination, and uncertainty bootstrapping through various methods . The vignette "Pipeline Walkthrough" gives an explicit run through of typical package usage. This material is based upon work supported by the U.S Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE-0008172. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.
How to cite:
Roger French (2020). PVplr: Performance Loss Rate Analysis Pipeline. R package version 0.1.2, https://cran.r-project.org/web/packages/PVplr. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-10-07 14:00), 0.1.1 (2022-05-13 23:10), 0.1.2 (2023-02-14 19:00)
Other packages that cited PVplr R package
View PVplr citation profile
Other R packages that PVplr depends, imports, suggests or enhances
Complete documentation for PVplr
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA