Package: mbr 0.0.1.1
mbr: Mass Balance Reconstruction
Mass-balance-adjusted Regression algorithm for streamflow reconstruction at sub-annual resolution (e.g., seasonal or monthly). The algorithm implements a penalty term to minimize the differences between the total sub-annual flows and the annual flow. The method is described in Nguyen et al (2020) <doi:10.1002/essoar.10504791.1>.
Authors:
mbr_0.0.1.1.tar.gz
mbr_0.0.1.1.zip(r-4.5)mbr_0.0.1.1.zip(r-4.4)mbr_0.0.1.1.zip(r-4.3)
mbr_0.0.1.1.tgz(r-4.4-any)mbr_0.0.1.1.tgz(r-4.3-any)
mbr_0.0.1.1.tar.gz(r-4.5-noble)mbr_0.0.1.1.tar.gz(r-4.4-noble)
mbr_0.0.1.1.tgz(r-4.4-emscripten)mbr_0.0.1.1.tgz(r-4.3-emscripten)
mbr.pdf |mbr.html✨
mbr/json (API)
# Install 'mbr' in R: |
install.packages('mbr', repos = c('https://critical-infrastructure-systems-lab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ntthung/mbr/issues
- p1Seasonal - Seasonal streamflow at P.1 station
- pc3seasons - Principal components of tree rings
Last updated 4 years agofrom:e5850b4229. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | NOTE | Nov 11 2024 |
R-4.5-linux | NOTE | Nov 11 2024 |
R-4.4-win | NOTE | Nov 11 2024 |
R-4.4-mac | NOTE | Nov 11 2024 |
R-4.3-win | NOTE | Nov 11 2024 |
R-4.3-mac | NOTE | Nov 11 2024 |
Exports:calculate_metricscv_mbKGEmake_Zmb_reconstructionnRMSENSERE
Dependencies:bootclidata.tabledigestdplRgluelatticelifecyclemagrittrMASSMatrixmatrixStatspngR.methodsS3R.ooR.utilsRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrlangsignalstringistringrvctrsXML
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Back-transformation | back_trans |
Reconstruction metrics | calculate_metrics |
Scale columns of a matrix | colScale |
Unscale columns of a matrix | colUnscale |
Cross-validation | cv_mb |
Kling-Gupta Efficiency | KGE |
Least square with mass balance penalty | lsq_mb |
Make cross-validation folds. | make_Z |
Fit parameters with mass balance criterion | mb_fit |
Mass-balance-adjusted reconstruction | mb_reconstruction |
Normalized root-mean-square error | nRMSE |
Nash-Sutcliffe Efficiency | NSE |
Objective function from parameters | obj_fun |
Seasonal streamflow at P.1 station | p1Seasonal |
Principal components of tree rings | pc3seasons |
Prepend a column of ones | prepend_ones |
Reduction of Error | RE |
Scale rows of a Matrix | rowScale |
Unscale rows of a matrix | rowUnscale |