Current Dev
0.4.0 (2018-06-11)
Breaking changes
- Major release, lots of undocumented breaking changes.)
- Changed
hdi
to HDI
- Removed Mean and SD from summary in
bayes_cor.test
### New functions / parameters
- Added
simulate_data_regression
- Extended
standardize
method
- Added
get_R2
method
- Added
interpret_odds
and logistic regression effect size interpretation
- Added
omega_sq
and interpret_omega_sq
### Changes
- Enhance print for
analyze.aov
0.2.8 (2018-06-11)
Breaking changes
- Renamed
bayesian_cor
to bayes_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
### New functions / parameters
- Added
interpret_RMSEA
- Added
analyze.lavaan
and analyze.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 ### Changes
- Improvements on analyze.stanreg
0.2.3 (2018-05-11)
Breaking changes
mellenbergh.test
, crawford.test
and crawford.test.freq
now return a psychobject
assess
has been refactored to become a wrapper for crawford.test
crawford.test
now computes the Bayesian version
crawford.test
has been renamed to crawford.test.freq
### New functions / parameters
- Added
i_am_cheating
parameter to correlation
to prevent p-hacking
- Added
percentile
and percentile_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 ### Changes
- Improvements on analyze.stanreg
- Fixed
draws
parameter in get_predicted.stanreg
- logo
0.2.0 (2018-05-01)
Breaking changes
- 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 in standardize
- Changed order of parameters in
dprime
### New functions / parameters
- Added
print
for n_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
in get_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
and get_predicted.stanreg
functions
- Added
crawford_dissociation.test
function for single-case tests
- Externalized the “mpe” function
- Added
affective
dataset ### Changes
- 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)
Breaking changes
New functions / parameters
- Added R2 for bayesian regressions
- Added
dprime
function for signal detection theory indices computation
- Added
crawford.test
and mellenbergh.test
function for single-case tests
- Added get_predicted for stanreg models ### Changes
0.1.0 (2018-02-05)
Breaking changes
normalize
has been renamed to standardize
#30 ### New functions / parameters
- Added support to lme4’s merMod objects
- Added
print
output to correlation
- Added glasso and cor_auto estimation for
correlation
#25 #24
- added
is.psychobject
function. ### Changes
- CRAN release
- Fixed #28
- Nicer print.psychobject output #32
- Replaced NAs by empty strings in
correlation
#23
0.0.8 (2018-01-04)
Breaking changes
New functions / parameters
Major changes
Minor changes
- Added
CONTRIBUTING.md
- Changed
format_digit
- Added
except
parameter to normalize
0.0.7 (2018-01-10)
Breaking changes
New functions / parameters
Major changes
Minor changes
- Changed
format_digit
- Added
except
parameter to normalize
0.0.6 (2017-12-07)
Breaking changes
New functions / parameters
HDI
: Compute highest density intervals
format_string
: A tidyverse friendly version of sprintf
### Major changes
- Changed credible interval computation in analyze.stanreg ### Minor changes
- Use
styler
0.0.4 (2017-11-15)
Breaking changes
New functions / parameters
correlation
: Plot is now supported by ggcorrplot instead of corrplot. The function behaves consistently (plot(correlation(df)
) ### Major changes
correlation
: Fix p values adjustment ### Minor changes
analyze.stanreg
: Removed the mean and sd of the print()
, added the MPE
analyze.stanreg
: Returns features of R2 for stan_lm
0.0.3 (2017-11-10)
Breaking changes
New functions / parameters
n_factors
: How many factors to retain for PCA or factor analysis? ### Major changes ### Minor changes
0.0.2 (2017-10-12)
Breaking changes
New functions / parameters
- analyze.merModLmerTest
- analyze.glmerMod ### Major changes ### Minor changes
- Improve testing
0.0.1 (2017-10-06)
Breaking changes
New functions / parameters
Major changes
- First CRAN release ### Minor changes