Man pages for robertsy/assimilr
Local Ensemble Kalman Particle Filters
| adaptive_gamma | Select gamma adaptively |
| additive_error | Additive model error |
| bal.sample | Balanced sampling |
| bal_sample_ordered | Balanced sampling with reordering |
| block_LEnKPF | block-LEnKPF analysis |
| da_cycle | Function for cycled data assimilation |
| da_update | Wrapper function for assimilation algorithms |
| enkf_step | EnKF part of EnKPF |
| EnKPF | Global EnKPF |
| ensure_PD | To ensure positive definiteness |
| f_crps | Compute CRPS score |
| f_crps_wgm | Compute CRPS score for a Gaussian mixture |
| GC_function | GC covariance function |
| gp_as_df | Transform the state matrix into a data frame |
| gp_ens0 | Generate initial ensemble |
| gp_plot | Plot the true field, the observations and an ensemble |
| gp_simulate | Simulate a correlated Gaussian random field |
| image_mat | Plot covariance |
| kalman.gain | Compute the Kalman Gain |
| kloc_gain | Equivalent local Kalman gain |
| leftmatch | Perumute indices |
| msqrt | Symmetric matrix square root of a positive definite matrix |
| multiplot | Combine multiple ggplots |
| naive_LEnKPF | naive LEnKPF analysis |
| one_block_update | assimilation of one block with block-LEnKPF |
| pit_hist | Compute PIT Histogram |
| pit_sweq | Compute PIT (probability integral transform) for sweq |
| pit_sweq_plot | Plot PIT histogram |
| plot_crps | Plot time evolution of CRPS for all fields |
| plot_eval | Plot time evolution of errors |
| ring_alldist | Pairwise distances on a rings |
| ring_dist | Distance on ring |
| ring_GC | GC taper on ring |
| ring_mod | Ring modulo |
| ring_neighbours | Neighborhood on a ring |
| ring_partition | Ring partition for the block-LEnKPF |
| sweq_as_df | from sweq_simulate to data_frame |
| sweq_change_R | Change R matrix |
| sweq_ens0 | Generate an initial ensemble for assimilation: |
| sweq_eval | Compute diagnostics of SWEQ cycling experiment |
| sweq_GC | GC taper on SWEQ |
| sweq_ggplot | Plot SWEQ |
| sweq_neighbours | SWEQ neighbours |
| sweq_partition | SWEQ partition for the block-LEnKPF |
| sweq_proj | Project back onto the manifold where rain>0: |
| sweq_run_as_df | From sweq_run to data_frame |
| sweq_simulate | Simulate from the modified SWEQ model |
| sweq_split | SWEQ split state |
| sweq_stack | SWEQ stack state |
