Man pages for ecrc/exageostatR
R Package Demonstrates the R / C Language Interface for Exageostat
| arg_check_mle | Check the MLE function args |
| arg_check_predict | Check the prediction function args |
| bm | Benchmark function to run a given FUN on a set of synthetic... |
| bm_comp | Running KAUST 2021 competition using the Benchmark function... |
| check_dmetric | Check the distance metric input to be "euclidean" or... |
| check_kernel | Check the statistical kernel to be in ("ugsm-s", "ugsmn-s",... |
| check_theta | Check the statistical parameter vector (theta) |
| dst_mle | Maximum Likelihood Evaluation (MLE) using Diagonal Super-tile... |
| exact_mle | Maximum Likelihood Evaluation using exact method |
| exact_mloe_mmom | Mean Misspecification of the Mean Square Error (MMOM) and... |
| exact_predict | Perform prediction on testing data using training data and... |
| exageostat_finalize | Finalize the current instance of ExaGeoStatR |
| exageostat_init | Initial an instance of ExaGeoStatR |
| fisher_general | Compute the Fisher information matrix for a given data and... |
| mean_absolute_error | Mean Absolute Error used as an assessment tool |
| mean_squared_logarithmic_error | Mean Absolute Error used as an assessment tool |
| mean_square_error | Mean Square Error used as an assessment tool |
| plot.Krig | This function plots the the diagnostics and summaries of... |
| root_mean_squared_error | Root Mean Squared Error used as an assessment tool |
| simulate_data_exact | Simulate Geospatial data (x, y, z) |
| simulate_obs_exact | Simulate Geospatial data given (x, y) locations |
| splitting_data | Spliting data into training and testing datasets |
| tlr_mle | Maximum Likelihood Evaluation (MLE) using Tile Low-Rank (TLR)... |
