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hdi to HDIbayes_cor.test ###
New functions / parameterssimulate_data_regressionstandardize methodget_R2 methodinterpret_odds and logistic regression effect
size interpretationomega_sq and interpret_omega_sq ###
Changesanalyze.aovbayesian_cor to bayes_cor for
consistencyrefdatadprime ### New functions / parametersinterpret_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 objects ### Changesmellenbergh.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.freq ### New functions / parametersi_am_cheating parameter to
correlation to prevent p-hackingpercentile and percentile_to_z
functionsas.data.frame method for density objectsrnorm_perfect function ### Changesdraws parameter in get_predicted.stanreganalyze.stanregvalues in analyzed modelssubset parameter in standardizedprime ### New functions
/ parametersprint 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 dataset ### Changesanalyze.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
#30 ### New functions / parametersprint output to correlationcorrelation
#25 #24is.psychobject function. ### Changescorrelation #23CONTRIBUTING.mdformat_digitexcept parameter to normalizeformat_digitexcept parameter to normalizeHDI: Compute highest density intervalsformat_string: A tidyverse friendly version of
sprintf ### Major changesstylercorrelation: Plot is now supported by ggcorrplot
instead of corrplot. The function behaves consistently
(plot(correlation(df)) ### Major changescorrelation: Fix p values adjustment ### Minor
changesanalyze.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? ### Major changes ### Minor changesThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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