Package index
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RLDMRLDM-package - RLDM: Rational Linear Dynamic Models
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armamod() - Constructor for LMFD (ARMA) Models
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rmfdmod()experimental - Constructor for RMFD Models
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stspmod() - Creator for stspmod class
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fill_template()extract_theta() - Connect Deep Parameters with a Model
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model2template()tmpl_arma_pq()tmpl_arma_echelon()tmpl_rmfd_pq()tmpl_rmfd_echelon()tmpl_stsp_full()tmpl_stsp_ar()tmpl_stsp_echelon() - Model Structures
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tmpl_DDLC()tmpl_GRAM() - Local Model Structures
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tmpl_llm()tmpl_lltm()tmpl_cycle()tmpl_season()cbind_templates() - Structural Time Series Models
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is.template() - Check templates
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tmpl_sigma_L() - sigma_L Structure
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r_model() - Generate a Random Model
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as.stspmod() - Coerce to State Space Model
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innovation_form()experimental - Innovation Form state space Model
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test_armamod() - Create Test ARMA model
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test_stspmod() - Create Test state space Model
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autocov() - Autocovariance, Autocorelation and Partial Autocorrelation Function
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fevardec() - Forecast Error Variance Decomposition
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freqresp() - Frequency Response Function
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impresp() - Impulse Response Function
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spectrald() - Spectral Density
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dft_3D() - Discrete Time Fourier Transform
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str(<armamod>)str(<stspmod>)str(<impresp>)str(<autocov>)str(<fevardec>)str(<freqresp>)str(<spectrald>) - Display the Structure of Objects
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print(<armamod>)print(<rmfdmod>)print(<stspmod>)print(<impresp>)print(<autocov>)print(<fevardec>)print(<freqresp>)print(<spectrald>) - Print Methods
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plot(<impresp>)plot(<autocov>)plot(<freqresp>)plot(<spectrald>) - Plot Methods
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plot(<fevardec>) - Plot Forecast Error Variance Decomposition
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plot_prediction() - Plot Forecasts
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predict(<armamod>)predict(<stspmod>)evaluate_prediction() - Model Predictions
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zeroes(<armamod>)poles(<armamod>)zeroes(<rmfdmod>)poles(<rmfdmod>)zeroes(<stspmod>)poles(<stspmod>) - Poles and Zeroes
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solve_de()solve_inverse_de() - Solve (linear) Difference Equations
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sim() - Simulate from a State Space or VARMA Model
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solve_RMFD_R() - Solve RMFD system for given inputs
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solve_inverse_RMFD_R() - Obtain Inputs of RMFD System for Given Data
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solve_ARMA_R() - Solve ARMA system
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toepl_fwd()toepl_inv() - Toeplitz Calculations
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est_ar()est_ar_yw()est_ar_dlw()est_ar_ols() - Estimate Autoregressive Models
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est_arma_hrk()deprecated - Hannan, Rissanen, Kavalieris estimation procedure
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est_arma_hrk3() - Different version of HRK Procedure
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est_stsp_aoki()est_stsp_cca()est_stsp_cca_sample() - Subspace Helper Methods
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est_stsp_ss() - Estimate State Space Models with Subspace Methods
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estorder_SVC()estorder_IVC()estorder_max()estorder_rkH()estorder_MOE() - Helper Functions for Order Estimation
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est_ML()superseded - Maximum Likelihood Estimation
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ll() - Log Likelihood Methods
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ll_FUN() - Log Likelihood Function Factory
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ll_theta()superseded - Log-likelihood Given Deep Parameters
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ll_kf() - Gaussian log Likelihood of a State Space Model
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arx_rls_core() - RLS function
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compare_estimates() - Compare Estimated Models
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pm_test() - Portmanteau Test for Serial Correlation
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KL_divergence() - Kullback–Leibler divergence
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kf() - Kalman Filter
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riccati() - Solve a discrete time, algebraic Riccati equation
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pfilter() - Sequential Monte Carlo (Particle Filter) Methods
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ll_pfilter() - Particle Filter Approximation of Log-Likelihood
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plot(<pfilter>) - Diagnostics for Particle Filter Results
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BQdataBQdata_tsBQdata_xts - Blanchard/Quah (1989) dataset
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RSdataRSdata_tsRSdata_xts - Ramey/Shapiro dataset