R: Simulate Models Based on the Generalized Linear Model

# Simulate Models Based on the Generalized Linear Model

## Documentation for package ‘simglm’ version 0.8.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

compute_statistics | Compute Power, Type I Error, or Precision Statistics
correlate_variables | Correlate elements
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_correlation | Parse correlation arguments
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_knot | Simulate knot locations
simulate_randomeffect | Tidy random effect formula simulation
sim_continuous2 | Simulate continuous variables
sim_factor2 | Simulate categorical, factor, or discrete variables
sim_time | Simulate Time
transform_outcome | Transform response variable