Nothing
hdi
to HDI
bayes_cor.test
simulate_data_regression
standardize
methodget_R2
methodinterpret_odds
and logistic regression effect size interpretationomega_sq
and interpret_omega_sq
analyze.aov
bayesian_cor
to bayes_cor
for consistencyrefdata
dprime
interpret_RMSEA
analyze.lavaan
and analyze.aov
remove_empty_cols
model_to_priors
analyze.htest
for correlations and t-testsinterpret_R2
reorder_matrix
bayes_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.test
crawford.test
now computes the Bayesian versioncrawford.test
has been renamed to crawford.test.freq
i_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.stanreg
values
in analyzed modelssubset
parameter in standardize
dprime
print
for n_factors
overlap
(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_odds
odds_to_probs
keep_iterations
in get_predicted.stanreg
(and demonstration of how to plot them in vignettes)emotion
datasetanalyze.stanreg
interpret_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.stanreg
mellenbergh.test
analyze.stanreg
crawford.test
dprime
function for signal detection theory indices computationcrawford.test
and mellenbergh.test
function for single-case testsnormalize
has been renamed to standardize
#30print
output to correlation
correlation
#25 #24is.psychobject
function.correlation
#23CONTRIBUTING.md
format_digit
except
parameter to normalize
format_digit
except
parameter to normalize
HDI
: Compute highest density intervalsformat_string
: A tidyverse friendly version of sprintf
styler
correlation
: 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?Any scripts or data that you put into this service are public.
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