effectsize 0.3.2
New features
eta_squared_posterior() for estimating Eta Squared for Bayesian models.eta_squared(), omega_squared() and epsilon_squared() now works with
effectsize() for class htest supports oneway.test(...).
Bug fixes
- Fix minor miss-calculation of Chi-squared for 2*2 table with small samples ( #102 ).
- Fixed miss-calculation of signed rank in
ranktransform() ( #87 ).
- Fixed bug in
standardize() for standard objects with non-standard class-attributes (like vectors of class haven_labelled or vctrs_vctr).
- Fix
effectsize() for one sample t.test(...) ( #95 ; thanks to pull request by @mutlusun )
effectsize 0.3.1
New features
standardize_parameters() now returns CIs ( #72 )eta_squared(), omega_squared() and epsilon_squared() now works with
gam models.afex models.lme and anova.lme objects.
- New function
equivalence_test() for effect sizes.
- New plotting methods in the
see package.
effectsize 0.3.0
New features
- New general purpose
effectsize() function.
- Effectsize for differences have CI methods, and return a data frame.
- Effectsize for ANOVA all have CI methods, and none are based on bootstrapping.
- New effect sizes for contingency tables (
phi() and cramers_v()).
chisq_to_phi() / cramers_v() functions now support CIs (via the ncp method), and return a data frame.F_to_eta2() family of functions now support CIs (via the ncp method), and return a data frame.t_to_d() and t_to_r() now support CIs (via the ncp method), and return a data frame.standardize() for model-objects has a default-method, which usually accepts all models. Exception for model-objects that do not work will be added if missing.standardize.data.frame() gets append and suffix arguments, to add (instead of replace) standardized variables to the returned data frame.eta_squared(), omega_squared() and epsilon_squared() now works
- output from
parameters::model_parameters().
mlm models.
Bug fixes
- Fix
cohens_d()’s dealing with formula input (#44).
sd_pooled() now returns the… pooled sd (#44).
Changes
- In
t_to_d(), argument pooled is now paired.
effectsize 0.2.0
Bug fixes
standardize.data.frame() did not work when variables had missing values.- Fixed wrong computation in
standardize() when two_sd = TRUE.
- Fixed bug with missing column names in
standardize_parameters() for models with different components (like count and zero-inflation).
effectsize 0.1.1
Changes
- News are hidden in an air of mystery…
effectsize 0.1.0
New features
standardize_parameters() and standardize() now support models from packages brglm, brglm2, mixor, fixest, cgam, cplm, cglm, glmmadmb and complmrob.
Bug fixes