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hdi
to HDI
bayes_cor.test
###
New functions / parameterssimulate_data_regression
standardize
methodget_R2
methodinterpret_odds
and logistic regression effect
size interpretationomega_sq
and interpret_omega_sq
###
Changesanalyze.aov
bayesian_cor
to bayes_cor
for
consistencyrefdata
dprime
### New functions / parametersinterpret_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 objects ### Changesmellenbergh.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
### 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.stanreg
values
in analyzed modelssubset
parameter in standardize
dprime
### New functions
/ parametersprint
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
dataset ### Changesanalyze.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
#30 ### New functions / parametersprint
output to correlation
correlation
#25 #24is.psychobject
function. ### Changescorrelation
#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
### Major changesstyler
correlation
: 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.