A B C D E F G H I M N O P R S V
affective | Data from the Affective Style Questionnaire (ASQ - French Validation) |
analyze | Analyze objects. |
analyze.aov | Analyze aov and anova objects. |
analyze.fa | Analyze fa objects. |
analyze.glm | Analyze glm objects. |
analyze.glmerMod | Analyze glmerMod objects. |
analyze.htest | Analyze htest (correlation, t-test...) objects. |
analyze.lavaan | Analyze aov objects. |
analyze.lm | Analyze lm objects. |
analyze.lmerModLmerTest | Analyze lmerModLmerTest objects. |
analyze.stanreg | Analyze stanreg objects. |
as.data.frame.density | Coerce to a Data Frame. |
assess | Compare a patient's score to a control group |
bayes_cor | Bayesian Correlation Matrix. |
bayes_cor.test | Performs a Bayesian correlation. |
correlation | Multiple Correlations. |
crawford.test | Crawford-Garthwaite (2007) Bayesian test for single-case analysis. |
crawford.test.freq | Crawford-Howell (1998) frequentist t-test for single-case analysis. |
crawford_dissociation.test | Crawford-Howell (1998) modified t-test for testing difference between a patient’s performance on two tasks. |
create_intervals | Overlap of Two Empirical Distributions. |
dprime | Dprime and Other Signal Detection Theory indices. |
emotion | Emotional Ratings of Pictures |
find_best_model | Returns the best model. |
find_best_model.merModLmerTest | Returns the best combination of predictors for lmerTest objects. |
find_best_model.stanreg | Returns the best combination of predictors based on LOO cross-validation indices. |
find_combinations | Generate all combinations. |
find_combinations.formula | Generate all combinations of predictors of a formula. |
find_matching_string | Fuzzy string matching. |
find_random_effects | Find random effects in formula. |
find_season | Find season of dates. |
format_bf | Bayes factor formatting |
format_digit | Format digits. |
format_formula | Clean and format formula. |
format_loadings | Format the loadings of a factor analysis. |
format_p | Format p values. |
format_string | Tidyverse-friendly sprintf. |
get_cfa_model | Get CFA model. |
get_contrasts | Get Marginal Means and Contrasts. |
get_contrasts.glmerMod | Compute estimated marginal means and contrasts from glmerMod models. |
get_contrasts.lmerModLmerTest | Compute estimated marginal means and contrasts from lmerModLmerTest models. |
get_contrasts.stanreg | Compute estimated marginal means and contrasts from stanreg models. |
get_data | Extract the dataframe used in a model. |
get_formula | Get formula of models. |
get_info | Get information about objects. |
get_info.lmerModLmerTest | Get information about models. |
get_loadings_max | Get loadings max. |
get_predicted | Compute predicted values from models. |
get_predicted.glm | Compute predicted values of lm models. |
get_predicted.lm | Compute predicted values of lm models. |
get_predicted.merMod | Compute predicted values of lm models. |
get_predicted.stanreg | Compute predicted values of stanreg models. |
get_R2 | Get Indices of Explanatory Power. |
get_R2.glm | Pseudo-R-squared for Logistic Models. |
get_R2.lm | R2 and adjusted R2 for Linear Models. |
get_R2.merMod | R2 and adjusted R2 for GLMMs. |
get_R2.stanreg | R2 or Bayesian Models. |
hdi | Highest Density Intervals (HDI). |
interpret_bf | Bayes Factor Interpretation |
interpret_d | Standardized difference (Cohen's d) interpreation. |
interpret_d_posterior | Standardized difference (Cohen's d) interpreation for a posterior distribution. |
interpret_odds | Omega Squared Interpretation |
interpret_odds_posterior | Odds ratio interpreation for a posterior distribution. |
interpret_omega_sq | Omega Squared Interpretation |
interpret_r | Correlation coefficient r interpreation. |
interpret_R2 | R2 interpreation. |
interpret_R2_posterior | R2 interpreation for a posterior distribution. |
interpret_RMSEA | RMSEA interpreation. |
interpret_r_posterior | Correlation coefficient r interpreation for a posterior distribution. |
is.mixed | Check if model includes random effects. |
is.mixed.stanreg | Check if model includes random effects. |
is.psychobject | Creates or tests for objects of mode "psychobject". |
is.standardized | Check if a dataframe is standardized. |
mellenbergh.test | Mellenbergh & van den Brink (1998) test for pre-post comparison. |
model_to_priors | Model to Prior. |
mpe | Compute Maximum Probability of Effect (MPE). |
n_factors | Find Optimal Factor Number. |
odds_to_d | (Log) odds ratio to Cohen's d |
odds_to_probs | Convert (log)odds to probabilies. |
omega_sq | Partial Omega Squared. |
overlap | Overlap of Two Empirical Distributions. |
percentile | Transform z score to percentile. |
percentile_to_z | Transform a percentile to a z score. |
plot.psychobject | Plot the results. |
plot_loadings | Plot loadings. |
power_analysis | Power analysis for fitted models. |
print.psychobject | Print the results. |
probs_to_odds | Convert probabilities to (log)odds. |
R2_LOO_Adjusted | Compute LOO-adjusted R2. |
R2_nakagawa | Pseudo-R-squared for Generalized Mixed-Effect models. |
R2_tjur | Tjur's (2009) coefficient of determination. |
refdata | Create a reference grid. |
remove_empty_cols | Remove empty columns.. |
reorder_matrix | Reorder square matrix. |
rnorm_perfect | Perfect Normal Distribution. |
rope | Region of Practical Equivalence (ROPE) |
standardize | Standardize. |
standardize.data.frame | Standardize (scale and reduce) Dataframe. |
standardize.glm | Standardize Coefficients. |
standardize.lm | Standardize Coefficients. |
standardize.numeric | Standardize (scale and reduce) numeric variables. |
standardize.stanreg | Standardize Posteriors. |
summary.psychobject | Print the results. |
values | Extract values as list. |