Function reference • bmbstats

All functions
`CLES()`	Common Language Effect Size (CLES)
`OLP_regression()`	OLP regression
`PPER()`	Proportion of Practically Equivalent Residuals
`RCT_analysis()`	RCT Analysis
`RCT_estimators()`	RCT Estimators
`RCT_estimators_lm()`	RCT Estimators - Simple Linear Regression approach
`RCT_estimators_simple()`	RCT Estimators - Simple
`RCT_predict()`	RCT Predict
`SESOI_lower_RCT_func()`	SESOI lower threshold for RCT analysis
`SESOI_lower_dependent_func()`	SESOI lower threshold for `compare_dependent_groups`
`SESOI_lower_func()`	SESOI lower function
`SESOI_lower_independent_func()`	SESOI lower threshold for `compare_independent_groups`
`SESOI_lower_relationship_func()`	SESOI lower threshold for `compare_dependent_groups`
`SESOI_lower_reliability_func()`	SESOI lower threshold for `reliability_analysis`
`SESOI_lower_validity_func()`	SESOI lower threshold for `validity_analysis`
`SESOI_upper_RCT_func()`	SESOI upper threshold for RCT analysis
`SESOI_upper_dependent_func()`	SESOI upper threshold for `compare_dependent_groups`
`SESOI_upper_func()`	SESOI upper function
`SESOI_upper_independent_func()`	SESOI upper threshold for `compare_independent_groups`
`SESOI_upper_relationship_func()`	SESOI upper threshold for `compare_dependent_groups`
`SESOI_upper_reliability_func()`	SESOI upper threshold for `reliability_analysis`
`SESOI_upper_validity_func()`	SESOI upper threshold for `validity_analysis`
`agreement_data`	Agreement data for N=20 athletes
`baseline_model()`	Baseline model
`basic_arguments`	Basic arguments
`basketball_data`	Basketball data
`bench_press_data`	Bench press data
`bmbstats()`	Bootstrap Magnitude-based generic function
`bootstrap_MBI()`	Bootstrap magnitude based inference
`bootstrap_MET()`	Bootstrap minimum effect tests (METs)
`bootstrap_NHST()`	Bootstrap Null Hypothesis Significance Test
`cohens_d()`	Cohen's d for paired (dependent) and unpaired (independent) samples
`compare_dependent_groups()`	Compare two dependent groups
`compare_independent_groups()`	Compare two independent groups
`cost_MBE()` `cost_MAE()` `cost_MSE()` `cost_RMSE()` `cost_SSE()` `cost_MinErr()` `cost_MaxErr()` `cost_MaxAbsErr()` `cost_MaxSqErr()` `cost_R_squared()` `cost_SESOItoRMSE()` `cost_PPER()` `cost_MHE()` `cost_RMHE()`	Cost functions
`cv_model()`	Fit a `cv_model`
`data_estimators()`	Data estimators
`data_estimators_robust()`	Data estimators (robust)
`data_estimators_simple()`	Data estimators (simple)
`density_mode()`	Finding Modes Using Kernel Density Estimates
`dependent_groups_estimators()`	Dependent groups estimators
`describe_data()`	Describe data
`describe_relationship()`	Describe relationship between two dependent groups
`func_num()`	Function or numeric
`generic_predict()`	Predict using generic function
`get_bootstrap_ci()`	Gets bootstrap confidence intervals
`get_magnitude()`	Get Magnitude
`height_data`	Height data for N=100 athletes
`independent_groups_estimators()`	Independent groups estimators
`lm_model()`	Simple linear regression model
`loss_quadratic()` `loss_absolute()` `loss_difference()` `loss_huber()` `loss_hinge()`	Loss functions
`mb_proportions()`	Magnitude-based Proportions for Two Groups
`mb_proportions_dependent()`	Magnitude-based Proportions for Two Dependent Groups
`mb_proportions_independent()`	Magnitude-based Proportions for Two Independent Groups
`mean_sd_h()`	Horizontal Mean +/- SD
`mean_sd_v()`	Vertical Mean +/- SD
`model_control()`	Model Control Constructor
`observations_MBI()`	Magnitude-based inference using observations and known measurement error
`observations_MET()`	Minimum-effect tests using observations and known measurement error
`perfect_rnorm()`	Perfect Normal Distribution
`performance_metrics()`	Performance metrics
`plot(<bmbstats>)`	S3 method for plotting `bmbstats` results
`plot(<bmbstats_MBI>)`	S3 method for plotting `bootstrap_MBI` results
`plot(<bmbstats_MET>)`	S3 method for plotting `bootstrap_MET` results
`plot(<bmbstats_NHST>)`	S3 method for plotting `bootstrap_NHST` results
`plot(<bmbstats_RCT_analysis>)`	S3 method for plotting `RCT_analysis` results
`plot(<bmbstats_RCT_predict>)`	S3 method for plotting `RCT_predict` results
`plot(<bmbstats_cv_model>)`	S3 method for plotting `cv_model` results
`plot(<bmbstats_observations_MBI>)`	S3 method for plotting `observations_MBI` results
`plot(<bmbstats_observations_MET>)`	S3 method for plotting `observations_MET` results
`plot_control()`	Plot control constructor
`plot_pair_BA()`	Bland-Altman plot
`plot_pair_OLP()`	Ordinary Least Products plot
`plot_pair_changes()`	Plot pair changes
`plot_pair_lm()`	Linear model plot
`plot_raincloud()`	Raincloud plot
`plot_raincloud_SESOI()`	Raincloud plot with smallest effect size of interest
`plot_spaghetti()`	Spaghetti plot
`predict(<bmbstats_RCT_predict>)`	S3 method for predicting `RCT_predict` results
`predict(<bmbstats_cv_model>)`	Predict from a `cv_model`
`print(<bmbstats>)`	S3 method for printing `bmbstats` results
`print(<bmbstats_MBI>)`	S3 method for printing `bootstrap_MBI` results
`print(<bmbstats_MET>)`	S3 method for printing `bootstrap_MET` results
`print(<bmbstats_NHST>)`	S3 method for printing `bootstrap_NHST` results
`print(<bmbstats_RCT_analysis>)`	S3 method for printing `RCT_analysis` results
`print(<bmbstats_RCT_predict>)`	S3 method for printing `RCT_predict` results
`print(<bmbstats_cv_model>)`	S3 method for printing `cv_model` results
`print(<bmbstats_observations_MBI>)`	S3 method for printing `observations_MBI` results
`print(<bmbstats_observations_MET>)`	S3 method for printing `observations_MET` results
`relationship_lm_estimators()`	Dependent groups linear relationship estimators
`reliability_analysis()`	Reliability Analysis
`reliability_estimators()`	Reliability estimators
`sd_pooled()`	Calculates pooled SD
`standardize()`	Standardize numeric vector
`validity_analysis()`	Validity Analysis
`validity_estimators()`	Validity estimators
`vertical_jump_data`	Vertical jump data
`weight_data`	Weight data
`yoyo_mas_data`	YoYoIR1 and MAS data set

Reference

All functions