Package index • rctbayespower

Core Power Analysis Functions

Main functions for conducting Bayesian power analysis

power_analysis(): Build Power Analysis Configuration

run(): Run Analysis Objects

run.rctbp_power_analysis: Run Power Analysis

simulate_single_run(): Single Run Simulation for RCT Bayesian Power Analysis

Model Building

Functions for creating and configuring study models

build_model(): Create a Build Model Object

build_model_ancova(): Create General ANCOVA Model with Flexible Specifications

build_model_ancova_cont_2arms(): Create 2-Arm ANCOVA Model for Continuous Outcomes

build_model_ancova_cont_3arms(): Create 3-Arm ANCOVA Model for Continuous Outcomes

list_predefined_models(): List available predefined models

get_predefined_model(): Get a predefined model by name

Design and Conditions

Functions for setting up study designs and simulation conditions

build_design(): Constructor for rctbp_design Objects

build_conditions(): Build Conditions for Power Analysis

Analysis Functions

Functions for power calculations and comparisons

analytical_power_ancova_cont_2arms(): Power Calculation for ANCOVA with Continuous Covariate and Two Groups

f2_from_params_ancova_cont_2arms(): Compute Cohen's f-squared for Group Effect in Linear Model

compare_power_methods(): Compare Power Calculation Methods

S3 Methods

Print and plot methods for package objects

plot.rctbp_power_analysis: Plot Power Analysis Results

print.rctbp_power_analysis: Print Method for rctbp_power_analysis Objects

print.rctbp_conditions: Print Method for rctbp_conditions Objects

print.rctbp_design: Print Method for rctbp_design Objects

print.rctbp_model: Print Method for rctbp_model Objects

Utilities

Helper functions and utilities

required_fn_args(): Identify Required Parameters for Design or Model Objects