| compute_statistics | Compute Power, Type I Error, or Precision Statistics |
| corr_variables | Function to correlate variables |
| cross_class | Cross Classified Generation |
| data_glm_nested | Generate logistic regression outcome |
| data_glm_nested3 | Simulates three level nested data with a single third level random effect |
| data_glm_single | Generate logistic regression outcome |
| data_reg_nested | Simulates two level nested data |
| data_reg_nested3 | Simulates three level nested data with a single third level random effect |
| data_reg_single | Simulates single level data |
| desireVar | Computes mixture normal variance |
| dropout_missing | Missing Data Functions |
| extract_coefficients | Extract Coefficients |
| generate_missing | Tidy Missing Data Function |
| generate_response | Simulate response variable |
| mar_missing | Missing Data Functions |
| missing_data | Missing Data Functions |
| model_fit | Tidy Model Fitting Function |
| parse_crossclass | Parse Cross-classified Random Effects |
| parse_formula | Parses tidy formula simulation syntax |
| parse_power | Parse power specifications |
| parse_randomeffect | Parses random effect specification |
| parse_varyarguments | Parse varying arguments |
| random_missing | Missing Data Functions |
| rbimod | Simulating mixture normal distributions |
| replicate_simulation | Replicate Simulation |
| run_shiny | Run Shiny Application Demo |
| simglm | simglm: A package to simulate and perform power by simulation for models based on the generalized linear model. |
| simulate_error | Tidy error simulation |
| simulate_fixed | Tidy fixed effect formula simulation |
| simulate_heterogeneity | Tidy heterogeneity of variance simulation |
| simulate_randomeffect | Tidy random effect formula simulation |
| sim_continuous | Simulate continuous variables |
| sim_continuous2 | Simulate continuous variables |
| sim_err_nested | Function that simulates errors. |
| sim_err_single | Function that simulates errors. |
| sim_factor | Simulate categorical, factor, or discrete variables |
| sim_factor2 | Simulate categorical, factor, or discrete variables |
| sim_fixef_nested | Simulates design matrix. |
| sim_fixef_nested3 | Simulates design matrix. |
| sim_fixef_single | Simulates design matrix for single level model. |
| sim_glm | Master generalized simulation function. |
| sim_glm_nested | Simulate two level logistic regression model |
| sim_glm_nested3 | Function to simulate three level nested data |
| sim_glm_single | Simulation single level logistic regression model |
| sim_knot | Simulate knot locations |
| sim_pow | Master power simulation function. |
| sim_pow_glm | Master power simulation function for glm models. |
| sim_pow_glm_nested | Power simulation for nested designs |
| sim_pow_glm_nested3 | Power simulation for nested designs |
| sim_pow_glm_single | Function to simulate power. |
| sim_pow_nested | Power simulation for nested designs |
| sim_pow_nested3 | Power simulation for nested designs |
| sim_pow_single | Function to simulate power. |
| sim_rand_eff | Function to simulate random effects. |
| sim_reg | Master continuous simulation function. |
| sim_reg_nested | Function to simulate nested data |
| sim_reg_nested3 | Function to simulate three level nested data |
| sim_reg_single | Master function to simulate single level data. |
| sim_time | Simulate Time |
| transform_outcome | Transform response variable |
| varcov_randeff | Function to create random effect variance-covariance matrices |