Package: HyMETT 1.1.3

HyMETT: Hydrologic Model Evaluation and Time-Series Tools

Facilitates the analysis and evaluation of hydrologic model output and time-series data with functions focused on comparison of modeled (simulated) and observed data, period-of-record statistics, and trends.

Authors:Colin Penn [aut, cre], Caelan Simeone [aut], Sara Levin [aut], Samuel Saxe [aut], Sydney Foks [aut], Robert Dudley [dtc], Glenn Hodgkins [dtc], Timothy Hodson [aut], Thomas Over [dtc], Amy Russell [dtc]

HyMETT_1.1.3.tar.gz
HyMETT_1.1.3.zip(r-4.7-any)HyMETT_1.1.3.zip(r-4.6-any)HyMETT_1.1.3.zip(r-4.5-any)
HyMETT_1.1.3.tgz(r-4.6-any)HyMETT_1.1.3.tgz(r-4.5-any)
HyMETT_1.1.3.tar.gz(r-4.7-any)HyMETT_1.1.3.tar.gz(r-4.6-any)
HyMETT_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HyMETT/json (API)

# Install 'HyMETT' in R:

install.packages('HyMETT', repos = c('https://cpenn-usgs.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

example_annual - Example Annual Observations
example_mod - Example Model Output
example_mod_zf - Example Model Output with zero flows
example_obs - Example Observations
example_obs_zf - Example Observations with zero flows
example_preproc - Example Observations prepocessed

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 scripts 285 downloads 28 exports 40 dependencies

Last updated from:1fe5a71f3c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	136
source / vignettes	OK	188
linux-release	OK	176
macos-release	OK	167
macos-oldrel	OK	145
windows-devel	OK	68
windows-release	OK	87
windows-oldrel	OK	120
wasm-release	OK	100

Exports:benchmark_KGE_DOY calc_annual_flow_stats calc_annual_stat_trend calc_logistic_regression calc_qlpearsonIII calc_qpearsonIII censor_values GOF_correlation_tests GOF_kling_gupta_efficiency GOF_mean_absolute_error GOF_mean_error GOF_nash_sutcliffe_efficiency GOF_percent_bias GOF_rmse GOF_summary GOF_volumetric_efficiency POR_apply_annual_hiflow_stats POR_apply_annual_lowflow_stats POR_calc_amp_and_phase POR_calc_AR1 POR_calc_lp3_quantile POR_deseasonalize POR_distribution_metrics preproc_audit_data preproc_fill_daily preproc_main preproc_precondition_data preproc_validate_daily

Dependencies:backports checkmate cli cpp11 dplyr EnvStats farver generics ggplot2 glue goftest gtable isoband labeling lattice lifecycle lmomco Lmoments lubridate magrittr MASS nortest pillar pkgconfig plyr R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales tibble tidyselect timechange utf8 vctrs viridisLite withr zoo

Basic workflow of HyMETT

Rendered fromHyMETT_Basic_Workflow.Rmdusingknitr::rmarkdown

Last update: 2023-11-23
Started: 2023-11-23

Help page	Topics
Hydrologic Model Evaluation and Time-series Tools	HyMETT-package HyMETT _PACKAGE
Calculate benchmark Kling-Gupta efficiency (KGE) values from day-of-year (DOY) observations	benchmark_KGE_DOY
Calculate annual flow statistics from daily data	calc_annual_flow_stats
Calculate trend in annual statistics	calc_annual_stat_trend
Calculate logistic regression in annual statistics with zero values	calc_logistic_regression
Quantile of Pearson Type III distribution for log-transformed data	calc_qlpearsonIII
Quantile of Pearson Type III distribution	calc_qpearsonIII
Censor values above or below a threshold	censor_values
Example Annual Observations	example_annual
Example Model Output	example_mod
Example Model Output with zero flows	example_mod_zf
Example Observations	example_obs
Example Observations with zero flows	example_obs_zf
Example Observations prepocessed	example_preproc
Calculates Kendall's Tau, Spearman's Rho, Pearson Correlation	GOF_correlation_tests
Calculate Kling-Gupta Efficiency (KGE)	GOF_kling_gupta_efficiency
Calculates mean absolute error (MAE).	GOF_mean_absolute_error
Calculates mean error.	GOF_mean_error
Calculate Nash-Sutcliffe Efficiency (NSE)	GOF_nash_sutcliffe_efficiency
Calculates percent bias.	GOF_percent_bias
Calculate root-mean-square error with options to normalize	GOF_rmse
Calculate Goodness-of-fit metrics and output into table	GOF_summary
Calculate Volumetric Efficiency	GOF_volumetric_efficiency
Calculate the 50th and 90th percentiles of a streamflow time series	POR_apply_annual_hiflow_stats
Calculate 10-year and 2-year return periods of a streamflow time series	POR_apply_annual_lowflow_stats
Calculate the seasonal amplitude and phase of a daily time series	POR_calc_amp_and_phase
calculates lag-one autocorrelation (AR1) coefficient for a time series	POR_calc_AR1
Calculate quantile from fitted log-Pearson type III distribution	POR_calc_lp3_quantile
Removes seasonal trends from a daily or monthly time series.	POR_deseasonalize
Calculates various metrics that describe the distribution of a time series of streamflow	POR_distribution_metrics
Audit daily data for total days in year	preproc_audit_data
Fills daily data with missing dates as 'NA' values	preproc_fill_daily
A wrapper function for preproc_precondition_data, preproc_audit_data, and calc_annual_flow_stats	preproc_main
Pre-conditions data with time information and n-day moving averages	preproc_precondition_data
Validates that daily data do not contain gaps	preproc_validate_daily

Package: HyMETT 1.1.3

HyMETT: Hydrologic Model Evaluation and Time-Series Tools

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)