Other packages > Find by keyword >

RavenR  

Raven Hydrological Modelling Framework R Support and Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RavenR", "2.2.4")



Attach the package and use:
library("RavenR")
Maintained by
Robert Chlumsky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-19
Latest Update: 2025-07-26
Description:
Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into extensible time series format, and support for writing Raven input files. The 'RavenR' package is also archived at Chlumsky et al. (2020) . The Raven Hydrologic Modelling Framework method can be referenced with Craig et al. (2020) .
How to cite:
Robert Chlumsky (2020). RavenR: Raven Hydrological Modelling Framework R Support and Analysis. R package version 2.2.4, https://cran.r-project.org/web/packages/RavenR. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:21), 2.0.1 (2020-11-19 09:50), 2.0.9 (2021-05-10 15:52), 2.1.0 (2021-06-10 10:20), 2.1.4 (2021-09-23 17:50), 2.1.6 (2022-01-29 17:30), 2.1.7 (2022-02-02 09:00), 2.1.8 (2022-06-11 09:10), 2.1.9 (2022-06-23 22:50), 2.2.0 (2022-10-28 23:02), 2.2.2 (2024-05-07 05:30), 2.2.3 (2025-07-26 04:30)
Other packages that cited RavenR R package
View RavenR citation profile
Other R packages that RavenR depends, imports, suggests or enhances
Complete documentation for RavenR
Functions, R codes and Examples using the RavenR R package
Some associated functions: RavenR-package . cmax . grapes-notin-grapes . pipe . rvn_annual_peak . rvn_annual_peak_error . rvn_annual_peak_event . rvn_annual_peak_event_error . rvn_annual_peak_timing_error . rvn_annual_quantiles . rvn_annual_quantiles_plot . rvn_annual_volume . rvn_apply_wyearly . rvn_apply_wyearly_which_max_xts . rvn_budyko_plot . rvn_calc_runoff_coeff . rvn_cum_plot_flow . rvn_custom_data . rvn_custom_output_plot . rvn_custom_read . rvn_df_to_Raven_table . rvn_dist_lonlat . rvn_download . rvn_exhaustive_mb_read . rvn_fdc_plot . rvn_flow_residuals . rvn_flow_scatterplot . rvn_flow_spaghetti . rvn_forcing_data . rvn_forcings_plot . rvn_forcings_read . rvn_fortify_xts . rvn_gen_obsweights . rvn_get_prd . rvn_hyd_dygraph . rvn_hyd_extract . rvn_hyd_plot . rvn_hyd_read . rvn_hydrograph_data . rvn_met_interpolate . rvn_met_recordplot . rvn_month_names . rvn_monthly_vbias . rvn_num_days . rvn_num_days_month . rvn_res_dygraph . rvn_res_extract . rvn_res_plot . rvn_res_read . rvn_run . rvn_rvc_from_custom_output . rvn_rvc_res . rvn_rvc_write . rvn_rvh_blankHRUdf . rvn_rvh_blankSBdf . rvn_rvh_cleanhrus . rvn_rvh_query . rvn_rvh_read . rvn_rvh_subbasin_network_plot . rvn_rvh_subbasin_visnetwork_plot . rvn_rvh_summarize . rvn_rvh_write . rvn_rvh_write_subbasingroup . rvn_rvi_connections . rvn_rvi_getparams . rvn_rvi_process_diagrammer . rvn_rvi_process_ggplot . rvn_rvi_read . rvn_rvi_write_template . rvn_rvp_fill_template . rvn_rvt_mappings_data . rvn_rvt_read . rvn_rvt_tidyhydat . rvn_rvt_write . rvn_rvt_write_met . rvn_stringpad . rvn_substrLeft . rvn_substrMLeft . rvn_substrMRight . rvn_substrRight . rvn_theme_RavenR . rvn_tidyhydat_sample . rvn_ts_infill . rvn_watershed_data . rvn_watershed_read . rvn_watershedmeb_read . rvn_weathercan_metadata_sample . rvn_weathercan_sample . rvn_which_max_xts . rvn_write_Raven_header . rvn_write_Raven_label . rvn_write_Raven_newfile . rvn_write_Raven_table . rvn_wyear_indices . rvn_xts_plot . 
Some associated R codes: RavenR-package.R . RcppExports.R . rvn_annual_peak.R . rvn_annual_peak_error.R . rvn_annual_peak_event.R . rvn_annual_peak_event_error.R . rvn_annual_peak_timing_error.R . rvn_annual_quantiles.R . rvn_annual_quantiles_plot.R . rvn_annual_volume.R . rvn_apply_wyearly.R . rvn_budyko_plot.R . rvn_calc_runoff_coeff.R . rvn_cum_plot_flow.R . rvn_custom_data.R . rvn_custom_output_plot.R . rvn_custom_read.R . rvn_df_to_Raven_table.R . rvn_download.R . rvn_exhaustive_mb_read.R . rvn_fdc_plot.R . rvn_flow_residuals.R . rvn_flow_scatterplot.R . rvn_flow_spaghetti.R . rvn_forcing_data.R . rvn_forcings_plot.R . rvn_forcings_read.R . rvn_gen_obsweights.R . rvn_hyd_dygraph.R . rvn_hyd_extract.R . rvn_hyd_plot.R . rvn_hyd_read.R . rvn_hydrograph_data.R . rvn_met_interpolate.R . rvn_met_recordplot.R . rvn_monthly_vbias.R . rvn_res_dygraph.R . rvn_res_extract.R . rvn_res_plot.R . rvn_res_read.R . rvn_run.R . rvn_rvc_from_custom_output.R . rvn_rvc_res.R . rvn_rvc_write.R . rvn_rvh_blankHRUdf.R . rvn_rvh_blankSBdf.R . rvn_rvh_cleanHRUs.R . rvn_rvh_overwrite.R . rvn_rvh_query.R . rvn_rvh_read.R . rvn_rvh_subbasin_network_plot.R . rvn_rvh_subbasin_visnetwork_plot.R . rvn_rvh_summarize.R . rvn_rvh_write.R . rvn_rvh_write_subbasingroup.R . rvn_rvi_connections.R . rvn_rvi_getparams.R . rvn_rvi_process_diagrammer.R . rvn_rvi_process_ggplot.R . rvn_rvi_read.R . rvn_rvi_write_template.R . rvn_rvp_fill_template.R . rvn_rvt_mappings_data.R . rvn_rvt_read.R . rvn_rvt_tidyhydat.R . rvn_rvt_write.R . rvn_rvt_write_met.R . rvn_theme_RavenR.R . rvn_tidyhydat_sample.R . rvn_ts_infill.R . rvn_utilities.R . rvn_watershed_data.R . rvn_watershed_read.R . rvn_watershedmeb_read.R . rvn_weathercan_metadata_sample.R . rvn_weathercan_sample.R . rvn_write_Raven_header.R . rvn_write_Raven_label.R . rvn_write_Raven_newfile.R . rvn_write_Raven_table.R . rvn_wyear_indices.R . rvn_xts_plot.R . utils-pipe.R .  Full RavenR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
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  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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