Man pages for simglm
Simulate Models Based on the Generalized Linear Model
| aggregate_outcome_by_level | Aggregate outcome to specified cluster level |
| compute_density_values | Convenience function for computing density values for... |
| compute_statistics | Compute Power, Type I Error, or Precision Statistics |
| correlate_variables | Correlate elements |
| desireVar | Computes mixture normal variance |
| extract_coefficients | Extract Coefficients |
| fit_propensity | Primary propensity model fitting |
| generate_missing | Tidy Missing Data Function |
| generate_response | Simulate response variable |
| missing | Missing Data Functions |
| model_fit | Tidy Model Fitting Function |
| parse_correlation | Parse correlation arguments |
| parse_formula | Parses tidy formula simulation syntax |
| parse_multiplemember | Parse Multiple Membership Random Effects |
| parse_power | Parse power specifications |
| parse_randomeffect | Parses random effect specification |
| parse_varyarguments | Parse between varying arguments |
| parse_varyarguments_w | Parse within varying arguments |
| rbimod | Simulating mixture normal distributions |
| replicate_simulation | Replicate Simulation |
| robust_model | Robust Model Standard Errors |
| run_shiny | Run Shiny Application Demo |
| sim_continuous2 | Simulate continuous variables |
| sim_factor2 | Simulate categorical or factor variables |
| simglm | Single wrapper function |
| simglm-package | simglm: Simulate Models Based on the Generalized Linear Model |
| sim_ordinal2 | Simulate discrete variables |
| sim_time | Simulate Time |
| simulate_error | Tidy error simulation |
| simulate_fixed | Tidy fixed effect formula simulation |
| simulate_heterogeneity | Tidy heterogeneity of variance simulation |
| simulate_knot | Simulate knot locations |
| simulate_propensity | Simulate Propensity Scores |
| simulate_randomeffect | Tidy random effect formula simulation |
| transform_outcome | Transform response variable |
