Function reference • tppr

Shiny App Functions to use the shiny app
`run_app()`	Run the Shiny Application
Data Datasets in the package
`analysis_params`	Preset parameters for the analysis
`example_m0`	Example dataset with support for M0
`example_m1`	Example dataset with support for M1
Read data Functions to read, generate or clean datasets
`read_data()`	Function to read and merge data
`clean_data()`	Function to extracts erotic trials
`split_data()`	Function to split data according to stopping points
`get_links()`	Get datafile download links from a Github folder
`generate_example_data()`	Generate example data
`generate_session()`	Generate example session
`cumulative_success()`	Calculating cumulative success
Analysis Functions to analyse the data
`analysis_confirmatory()`	Primary confirmatory analysis
`confirmatory_bayes_factor()`	Primary analysis: Bayes factors analysis
`confirmatory_mixed_effect()`	Primary analysis: Mixed-effects logistic regression
`analysis_robustness()`	Robustness analysis
`robustness_bf_analysis()`	Robustness test of Bf results with Bayesian parameter estimation
`robustness_nhst_analysis()`	Robustness test of Bf results with NHST
`analysis_exploratory()`	Exploratory analysis
`cumulative_bayes_factor()`	Calculating cumulative Bayes factors
Visualization Functions to visualize the results of the analysis
`plot_confirmatory()`	Plotting the results of the primary confirmatory analysis
`plot_robustness()`	Plotting the results of the robustness analysis
`plot_exploratory()`	Plotting the results of the exploratory analysis
Descriptives Functions to get descriptive information about the data
`tell_checkpoint()`	Function to return checkpoint information
`sample_descriptives()`	Sample and study characteristics
`sample_descriptives_current()`	Current descriptive
Helpers Not-standalone functions that are used in the analysis
`logit2prob()`	Convert logit to probability
`mode_HDI()`	Function calculating the highest density interval using sampling
`smoothie()`	Function to fit smoothing spline
Inferences Functions to draw inferences based on the results
`inference_confirmatory_bf()`	Inference for Bayesian proportion tests
`inference_confirmatory_mixed_effect()`	Inference for mixed effect test
`inference_confirmatory_combined()`	Inference for the confirmatory analysis
`inference_robustness_nhst()`	Inference for robustness test using NHST
`inference_robustness_combined()`	Inference for robustness analysis
`inference_robustness_bf()`	Inference for robustness test using Bayesian parameter estimation
Bayes factor calculation Functions to calculate Bayes factors
`fullAlt_beta()` `normalize_beta()` `restrictedAlt_beta()` `margLike_beta()` `BF01_beta()`	Functions for Bayes factor calculation using beta prior
App helpers Non-standalone functions used in the app
`text_helper_current_general()` `text_helper_current_confirmatory()` `text_helper_current_robustness()` `text_helper_checkpoint_general()` `text_helper_checkpoint_confirmatory()` `text_helper_stop()` `text_helper_warning()`	Text helper functions

Reference

Shiny App

Data

Read data

Analysis

Visualization

Descriptives

Helpers

Inferences

Bayes factor calculation

App helpers