0.4.0 (2018-06-11)
- Major release, lots of undocumented breaking changes.)
- Changed
hdi
toHDI
- Removed Mean and SD from summary in
bayes_cor.test
- Added
simulate_data_regression
- Extended
standardize
method - Added
get_R2
method - Added
interpret_odds
and logistic regression effect size interpretation - Added
omega_sq
andinterpret_omega_sq
- Enhance print for
analyze.aov
0.2.8 (2018-06-11)
- Renamed
bayesian_cor
tobayes_cor
for consistency - Changed parameters name and role in
refdata
- Changed output of analyze.stanreg
- effsize in analyze.stanreg default to TRUE
- Fixed bug in
dprime
- Added
interpret_RMSEA
- Added
analyze.lavaan
andanalyze.aov
- Added
remove_empty_cols
- Added
model_to_priors
- First iteration on custom rule's sets for effects sizes
- Added
analyze.htest
for correlations and t-tests - Added
interpret_R2
- Added "bayesian" method for correlation matrix
- Added
reorder_matrix
- Added
bayes_adj_R2
for loo-adjusted R2 in stanreg models - Added
get_std_posteriors
for standardized coefs in Bayesian models - First iteration on
bayesian_cor
for Bayesian correlation tables - Added standardized coefs computation to analyze.stanreg
- Added
refdata
for reference grid creation - Added
rope
for region of practical equivalence - Added
interpret_r
for correlation coefficient interpretation - Added
bayesian_cor.test
, start to work on implementation of bayesian method for correlation - Added
find_matching_string
for fuzzy string matching - Added
analyze
for psych::fa objects
- Improvements on analyze.stanreg
0.2.3 (2018-05-11)
mellenbergh.test
,crawford.test
andcrawford.test.freq
now return a psychobjectassess
has been refactored to become a wrapper forcrawford.test
crawford.test
now computes the Bayesian versioncrawford.test
has been renamed tocrawford.test.freq
- Added
i_am_cheating
parameter tocorrelation
to prevent p-hacking - Added
percentile
andpercentile_to_z
functions - Added
as.data.frame
method for density objects - Added Crawford-Garthwaite (2007) Bayesian test for single-case analysis
- Added
rnorm_perfect
function
- Improvements on analyze.stanreg
- Fixed
draws
parameter in get_predicted.stanreg - logo
0.2.0 (2018-05-01)
- Set default overlap parameter to TRUE in
analyze.stanreg
- Remove support of lmerMod objects (linear mixed models must be fitted with lmerTest)
- Refactored get_predicted.stanreg
- Changed organization of
values
in analyzed models - Added
subset
parameter instandardize
- Changed order of parameters in
dprime
- Added
print
forn_factors
- Added
overlap
(experimental) parameter to analyze.stanreg as a different index of effect existence - Added
overlap
function - Added
power_analysis
function. - Added
analyze.lm
for lm objects. - Added
interpret_bf
for bayes factor interpretation - Added
probs_to_odds
- Added confidence intervals (CI) to analyze for lmerTest models
- Refactored
odds_to_probs
- Added ìs.mixed.stanreg`
- Added
keep_iterations
inget_predicted.stanreg
(and demonstration of how to plot them in vignettes) - Added
emotion
dataset - Added get_contrasts methods for lme4 objects
- Added prior info in
analyze.stanreg
- Added (exposed)
interpret_d_posterior
for Bayesian size effect interpretation - Added
find_combinations
function - Added
find_best_model
function - Added
is.standardized
function - Added
get_contrasts.stanreg
andget_predicted.stanreg
functions - Added
crawford_dissociation.test
function for single-case tests - Externalized the "mpe" function
- Added
affective
dataset
- Added model selection chapter in Bayesian vignettes
- Refactor the
analyze.stanreg
code - Improved
standardize
for vectors - Added random effects summary in
analyze.stanreg
- Improved
mellenbergh.test
- Improved
analyze.stanreg
- Added new vignette for "Bayesian analyses in psychology"
- Improved
crawford.test
0.1.4 (2018-03-23)
- Added R2 for bayesian regressions
- Added
dprime
function for signal detection theory indices computation - Added
crawford.test
andmellenbergh.test
function for single-case tests - Added get_predicted for stanreg models
0.1.0 (2018-02-05)
normalize
has been renamed tostandardize
#30
- Added support to lme4's merMod objects
- Added
print
output tocorrelation
- Added glasso and cor_auto estimation for
correlation
#25 #24 - added
is.psychobject
function.
- CRAN release
- Fixed #28
- Nicer print.psychobject output #32
- Replaced NAs by empty strings in
correlation
#23
0.0.8 (2018-01-04)
- Added
CONTRIBUTING.md
- Changed
format_digit
- Added
except
parameter tonormalize
- Changed
format_digit
- Added
except
parameter tonormalize
HDI
: Compute highest density intervalsformat_string
: A tidyverse friendly version ofsprintf
- Changed credible interval computation in analyze.stanreg
- Use
styler
correlation
: Plot is now supported by ggcorrplot instead of corrplot. The function behaves consistently (plot(correlation(df)
)
correlation
: Fix p values adjustment
analyze.stanreg
: Removed the mean and sd of theprint()
, added the MPEanalyze.stanreg
: Returns features of R2 for stan_lm
n_factors
: How many factors to retain for PCA or factor analysis?
- analyze.merModLmerTest
- analyze.glmerMod
- Improve testing
0.0.1 (2017-10-06)
- First CRAN release