Man pages for kcf-jackson/glmSimData
A package for simulating data from a GLM model
| add_irrelevant_covariates | A function to generate irrelevant covariates, numerical or... |
| block_seq | Partition a sequence into blocks |
| ceil_exp | Take exponential then round a number |
| create_labels_table | Create a dataframe mapping labels to intervals. |
| diff_ratio | Compare the signal-noise ratios |
| expand.lists | extension of expand.grid to 2 lists |
| extract_ratio | extract signal-noise ratio from GLM object. |
| extract_ungrouped_data | Extract (ungrouped) data from the beta object |
| find_signal_label | Categorise signal-noise ratio (vectorised) |
| generate_dependent_covariates | Generate dependent covariates - numerical or (ordinal)... |
| generate_independent_covariates | Generate independent covariates - numerical or (ordinal)... |
| generate_response | Simulate the response data given covariates, beta and DGP... |
| generate_response_with_ratio | Generate predictor coefficients according to the signal-noise... |
| glmSimData | A package for simulating data from a GLM model |
| Imported-functions | Import functions from the base packages. |
| ls_loss | Least-squared loss function |
| matrix_times_vector | Sum of matrix columns weighted by a vector |
| random_labels | Generate some random labels |
| random_signals | Generate some random signals based on labels |
| reduce_data_weights | Reduce the weights such that it rounds to 'nice' numbers. |
| round_exp | Take exponential then round a number |
| stochastic_search | Stochastic Search |
| trim_number | Trim the first s significant digits. |
