Man pages for mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data
Evaluation procedures for forecasting with spatio-temporal data
| add_ratios | Add ratios between spatio-temporal neighborhood indicators |
| calculate_errors | Calculate error metrics |
| calculate_vector_errors | Calculate vector of error values |
| compressAllRes | Compress results from all (artificial) experiments |
| compressRes | Compress results from one experiment |
| cv_folds | Cut into folds |
| data_list | Spatio-temporal data sets |
| df2site_sf | Create an sf object of available sites |
| embed_series | Embed each time series in a spatio-temporal data set |
| estimates | Estimate error using a chosen method |
| evaluate | Evalute the results of a predictive workflow |
| exp_c | Exponential function |
| generate_coef | Generate coefficients for a STARMA stationary process |
| generate_grid | Create a regular grid using spdep package |
| generate_multiple_datasets | Generate multiple artificial datasets using STARMA on regular... |
| generate_one_dataset | Generate an artificial dataset using STARMA on a regular grid |
| generate_stdata | Simulate a STARMA stationary process |
| get_all_neib_vals | Get the spatio-temporal neighbourhoods of all observations |
| get_full_indicators | Get time series embeds and spatio-temporal indicators |
| get_spatial_dist_mat | Calculate spatial distance matrix |
| get_st_indicator | Get a spatio-temporal indicator from neighbourhood data frame |
| get_st_indicators | Get spatio-temporal indicators from a data frame containing... |
| get_st_neighbours | Get spatio-temporal neighbourhood |
| get_time_dist_mat | Calculate temporal distance matrix |
| grid_neibs_ord1 | Get directional neighbours from a regular grid |
| identity | Identity function |
| kf_xval | Cross-validation |
| lag_multiple_datasets | Create a spatio-temporal embed of multiple datasets |
| nd_kf_xval | Non-dependent cross-validation |
| norm_scale | Feature scaling |
| prequential_eval | Prequential evaluation |
| realSumRes2Tab | Transform a multi-level list of summarized results into a... |
| regMetrics | Calculate regression metrics |
| responseValues | Get response values of a dataset from a formula |
| run_all_experiments | Run multiple experiments for different grid and time series... |
| run_multiple_experiments | Run multiple in-set/out-set error estimation experiments |
| run_one_experiment | Run one in-set/out-set error estimation experiment |
| shuffle | Shuffle values/rows |
| simple_workflow | A simple learning and prediction workflow |
| sp_checker | Assign the locations of a regular grid to folds following a... |
| sp_contig | Assign the locations of a regular grid to folds in contiguous... |
| starma_sim | Simulate spatio-temporal data using a STARMA model |
| starma_stat_check | Check a STARMA model for stationarity |
| st_lag_neib_ord1 | Create a spatio-temporal embed of data |
| summarize_all_art_exps | Summarize the results of all (artificial) in-set/out-set... |
| summarize_multiple_exp | Summarize the results of multiple in-set/out-set experiment |
| summarize_one_exp | Summarize the results of one in-set/out-set experiment |
| sumRes2Tab | Transform a multi-level list of summarized results into a... |
| Tall_SPchecker | Systematic spatial CV |
| Tall_SPcontig | Spatially blocked CV |
| Tall_SPrand | Spatial CV |
| Tblock_SPall | Temporally blocked CV |
| Tblock_SPchecker | Temporal blocked and systematic spatial CV |
| Tblock_SPcontig | Temporal blocked and contiguously-blocked spatial CV |
| Tblock_SPrand | Temporal blocked and randomly assigned spatial CV |
| t_oos | Time-wise holdout |
| t_oos_mc | Time-wise Monte Carlo |
| Trand_SPall | Temporal CV |
| Trand_SPrand | Classic k-fold CV |
