This package is considered a duplicate. The official version of this package is found at:https://critical-infrastructure-systems-lab.r-universe.dev/ldsr

Package: ldsr 0.0.2

Hung Nguyen

ldsr: Linear Dynamical System Reconstruction

Streamflow (and climate) reconstruction using Linear Dynamical Systems. The advantage of this method is the additional state trajectory which can reveal more information about the catchment or climate system. For details of the method please refer to Nguyen and Galelli (2018) <doi:10.1002/2017WR022114>.

Authors:Hung Nguyen [aut, cre], Stefano Galelli [ctb]

ldsr_0.0.2.tar.gz
ldsr_0.0.2.tar.gz(r-4.5-noble)ldsr_0.0.2.tar.gz(r-4.4-noble)
ldsr_0.0.2.tgz(r-4.4-emscripten)ldsr_0.0.2.tgz(r-4.3-emscripten)
ldsr.pdf |ldsr.html✨
ldsr/json (API)

# Install 'ldsr' in R:

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

Bug tracker:https://github.com/ntthung/ldsr/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

NPannual - Annual streamflow at Nakhon Phanom
NPpc - Selected principal components
theta - LDS parameters

2.93 score 17 scripts 181 downloads 19 exports 7 dependencies

Last updated 5 years agofrom:e0fc26e15a. Checks:OK: 1 NOTE: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-linux-x86_64	NOTE	Nov 05 2024

Exports:calculate_metrics cvLDS cvPCR inv_boxcox KGE LDS_EM_restart LDS_reconstruction LDS_rep make_init make_Z metrics_with_transform nRMSE NSE one_lds_cv one_LDS_rep one_pcr_cv PCR_ensemble_selection PCR_reconstruction RE

Dependencies:codetools data.table foreach iterators MASS Rcpp RcppArmadillo

Streamflow Reconstruction with Linear Dynamical Systems

Rendered fromldsr.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2020-05-04
Started: 2020-05-04

Citation

Readme and manuals

Help Manual

Help page	Topics
Reconstruction metrics	calculate_metrics
Call a reconstruction method	call_method
Pearson's correlation	corr
Cross validate LDS model. This is a wrapper for LDS_reconstruction	cvLDS
Cross validation of PCR reconstruction.	cvPCR
Exponential confidence interval	exp_ci
Inverse Box-Cox transform	inv_boxcox
Implement Kalman smoothing	Kalman_smoother
Kling-Gupta Efficiency	KGE
Learn LDS with L-BFGS-B	LDS_BFGS
Learn LDS with L-BFGS-B	LDS_BFGS_with_update
Learn LDS model	LDS_EM
Learn LDS model with multiple initial conditions	LDS_EM_restart
Learn a linear dynamical system using Genetic Algorithm.	LDS_GA
Learn LDS model.	LDS_reconstruction
Multiple LDS replicates	LDS_rep
Make initial values for parameters.	make_init
Make cross-validation folds.	make_Z
Transform the estimates before calculating metrics	metrics_with_transform
Maximizing expected likelihood using analytical solution	Mstep
Calculates the negative log-likelihood	negLogLik
Annual streamflow at Nakhon Phanom	NPannual
Selected principal components	NPpc
Normalized root-mean-square error	nRMSE
Nash-Sutcliffe Efficiency	NSE
One cross-validation run	one_lds_cv
One LDS replicate	one_LDS_rep
One cross-validation run	one_pcr_cv
Select the best reconstruction	PCR_ensemble_selection
Principal Component Regression Reconstruction	PCR_reconstruction
Penalized likelihood objective function	penalized_likelihood
State propagation	propagate
Reduction of Error	RE
LDS parameters	theta
Converts theta from a vector (as used in GA) to list (as used in Kalman smoothing)	vec_to_list