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