Man pages for rossklin/dynpan
Dynamics estimation for multiple time series
| coef.dynpan_lars | time.table LASSO coefficients |
| constant_weight_function | Constant weight function |
| dynpan | dynpan. |
| flanner_by_measurement | Add spatial index to a time.table |
| irregular_derivatives | Compute timestep derivatives in the abscence of regular... |
| lag_column | "Pad" a range aroun the values of a column |
| local_polynomial_derivatives | Fit local polynomial models to estimate derivatives of a... |
| local_polynomial_fits | Fit local polynomial models to estimate derivatives |
| lookup_neighbour_indices | Index base nearest neighbour query |
| lookup_neighbour_trajectories | Find neighbouring trajectories |
| nobs.dynpan_lars | Number of observations used in the regression |
| ortho_polymodel | Orthogonal polynomials |
| pad_column | "Pad" a range aroun the values of a column |
| predict.dynpan_lars | time.table LASSO prediction |
| remove_matrices | Remove matrices from lars result to reduce memory footprint |
| simple_weight_function | A simple and stupid weight function |
| step_derivatives | Single timestep based derivative estimation |
| summary.dynpan_lars | time.table LASSO regression summary |
| time_table_lars | Perform lasso regression on a time.table |
| time_table_leaps | Best subset (linear) regression on a time.table |
