Man pages for simglm
Simulate Models Based on the Generalized Linear Model

compute_statisticsCompute Power, Type I Error, or Precision Statistics
correlate_variablesCorrelate elements
desireVarComputes mixture normal variance
extract_coefficientsExtract Coefficients
generate_missingTidy Missing Data Function
generate_responseSimulate response variable
missingMissing Data Functions
model_fitTidy Model Fitting Function
parse_correlationParse correlation arguments
parse_crossclassParse Cross-classified Random Effects
parse_formulaParses tidy formula simulation syntax
parse_powerParse power specifications
parse_randomeffectParses random effect specification
parse_varyargumentsParse varying arguments
rbimodSimulating mixture normal distributions
replicate_simulationReplicate Simulation
run_shinyRun Shiny Application Demo
sim_continuous2Simulate continuous variables
sim_factor2Simulate categorical, factor, or discrete variables
simglmsimglm: A package to simulate and perform power by simulation...
sim_timeSimulate Time
simulate_errorTidy error simulation
simulate_fixedTidy fixed effect formula simulation
simulate_heterogeneityTidy heterogeneity of variance simulation
simulate_knotSimulate knot locations
simulate_randomeffectTidy random effect formula simulation
transform_outcomeTransform response variable
simglm documentation built on Feb. 7, 2022, 9:08 a.m.