hdi to HDIbayes_cor.testsimulate_data_regressionstandardize methodget_R2 methodinterpret_odds and logistic regression effect size interpretationomega_sq and interpret_omega_sqanalyze.aovbayesian_cor to bayes_cor for consistencyrefdatadprimeinterpret_RMSEAanalyze.lavaan and analyze.aovremove_empty_colsmodel_to_priorsanalyze.htest for correlations and t-testsinterpret_R2reorder_matrixbayes_adj_R2 for loo-adjusted R2 in stanreg modelsget_std_posteriors for standardized coefs in Bayesian modelsbayesian_cor for Bayesian correlation tablesrefdata for reference grid creationrope for region of practical equivalenceinterpret_r for correlation coefficient interpretationbayesian_cor.test, start to work on implementation of bayesian method for correlationfind_matching_string for fuzzy string matchinganalyze for psych::fa objectsmellenbergh.test, crawford.test and crawford.test.freq now return a psychobjectassess has been refactored to become a wrapper for crawford.testcrawford.test now computes the Bayesian versioncrawford.test has been renamed to crawford.test.freqi_am_cheating parameter to correlation to prevent p-hackingpercentile and percentile_to_z functionsas.data.frame method for density objectsrnorm_perfect functiondraws parameter in get_predicted.stanreganalyze.stanregvalues in analyzed modelssubset parameter in standardizedprimeprint for n_factorsoverlap (experimental) parameter to analyze.stanreg as a different index of effect existenceoverlap functionpower_analysis function.analyze.lm for lm objects.interpret_bf for bayes factor interpretationprobs_to_oddsodds_to_probskeep_iterations in get_predicted.stanreg (and demonstration of how to plot them in vignettes)emotion datasetanalyze.stanreginterpret_d_posterior for Bayesian size effect interpretationfind_combinations functionfind_best_model functionis.standardized functionget_contrasts.stanreg and get_predicted.stanreg functionscrawford_dissociation.test function for single-case testsaffective datasetanalyze.stanreg codestandardize for vectorsanalyze.stanregmellenbergh.testanalyze.stanregcrawford.testdprime function for signal detection theory indices computationcrawford.test and mellenbergh.test function for single-case testsnormalize has been renamed to standardize #30print output to correlationcorrelation #25 #24is.psychobject function.correlation #23CONTRIBUTING.mdformat_digitexcept parameter to normalizeformat_digitexcept parameter to normalizeHDI: Compute highest density intervalsformat_string: A tidyverse friendly version of sprintfstylercorrelation: Plot is now supported by ggcorrplot instead of corrplot. The function behaves consistently (plot(correlation(df))correlation: Fix p values adjustmentanalyze.stanreg: Removed the mean and sd of the print(), added the MPEanalyze.stanreg: Returns features of R2 for stan_lmn_factors: How many factors to retain for PCA or factor analysis?