Linear Dynamical System Reconstruction

Documentation for package ‘ldsr’ version 0.0.2

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)