effectsize 0.4.1

Breaking Changes

• cohens_d() and glass_delta(): The correction argument has been deprecated, in favor of it being correctly implemented in hedges_g() ( #222 ).
• eta_squared_posterior() no longer uses car::Anova() by default.

New features

• effectsize() gains type = argument for specifying which effect size to return.
• eta_squared_posterior() can return a generalized Eta squared.
• oddsratio() and riskratio() functions for 2-by-2 contingency tables.
• standardize() gains support for mediation::mediate() models.
• eta_squared() family available for manova objects.

Changes

• eta_squared() family of functions returns non-partial effect size for one-way between subjects design (#180).

Bug fixes

• hedges_g() correctly implements the available bias correction methods ( #222 ).
• Fixed width of CI for Cohen’s d and Hedges’ g when using non-pooled SD.

effectsize 0.4.0

Breaking Changes

• standardize_parameters() for multi-component models (such as zero-inflated) now returns the unstandardized parameters in some cases where standardization is not possible (previously returned NAs).
• Column name changes:
  • eta_squared() / F_to_eta2 families of function now has the Eta2 format, where previously was Eta_Sq.
  • cramers_v is now Cramers_v

New features

• effectsize() added support for BayesFactor objects (Cohen’s d, Cramer’s v, and r).
• cohens_g() effect size for paired contingency tables.
• Generalized Eta Squared now available via eta_squared(generalized = ...).
• eta_squared(), omega_squared() and epsilon_squared() fully support aovlist, afex_aov and mlm (or maov) objects.
• standardize_parameters() can now return Odds ratios / IRRs (or any exponentiated parameter) by setting exponentiate = TRUE.
• Added cohens_f_squared() and F_to_f2() for Cohen’s f-squared.
• cohens_f() / cohens_f_squared()can be used to estimate Cohen’s f for the R-squared change between two models.
• standardize() and standardize_info() work with weighted models / data ( #82 ).
• Added hardlyworking (simulated) dataset, for use in examples.
• interpret_* ( #131 ):
  • interpret_omega_squared() added "cohen1992" rule.
  • interpret_p() added Redefine statistical significance rules.
• oddsratio_to_riskratio() for converting OR to RR.

Changes

• CIs for Omega-/Epsilon-squared and Adjusted Phi/Cramer’s V return 0s instead of negative values.
• standardize() for data frames gains the remove_na argument for dealing with NAs ( #147 ).
• standardize() and standardize_info() now (and by extension, standardize_parameters()) respect the weights in weighted models when standardizing ( #82 ).
• Internal changes to standardize_parameters() (reducing co-dependency with parameters) - argument parameters has been dropped.

Bug fixes

• ranktransform(sign = TURE) correctly (doesn’t) deal with zeros.
• effectsize() for htest works with Spearman and Kendall correlations ( #165 ).
  
• cramers_v() and phi() now work with goodness-of-fit data ( #158 )
• standardize_parameters() for post-hoc correctly standardizes transformed outcome.
• Setting two_sd = TRUE in standardize() and standardize_parameters() (correctly) on uses 2-SDs of the predictors (and not the response).
• standardize_info() / standardize_parameters(method = "posthoc") work for zero-inflated models ( #135 )
• standardize_info(include_pseudo = TRUE) / standardize_parameters(method = "pseudo") are less sensitive in detecting between-group variation of within-group variables.
• interpret_oddsratio() correctly treats extremely small odds the same as treats extremely large ones.

effectsize 0.3.3

New features

• standardize_parameters(method = "pseudo") returns pseudo-standardized coefficients for (G)LMM models.
• d_to_common_language() for common language measures of standardized differences (a-la Cohen’s d).

Changes

• r_to_odds() family is now deprecated in favor of r_to_oddsratio().
• interpret_odds() is now deprecated in favor of interpret_oddsratio()

Bug fixes

• phi() and cramers_v() did not respect the CI argument ( #111 ).
• standardize() / standardize_parameters() properly deal with transformed data in the model formula ( #113 ).
• odds_to_probs() was mis-treating impossible odds (NEVER TELL ME THE ODDS! #123 )

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
  • ols / rms models.
• 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

• Fix CRAN check issues.