Simulate Models Based on the Generalized Linear Model

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Documentation for package ‘simglm’ version 0.8.9

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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