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| check_factorstructure | Check suitability of data for Factor Analysis (FA) |
| check_kmo | Kaiser, Meyer, Olkin (KMO) Measure of Sampling Adequacy (MSA) for Factor Analysis |
| check_smoothness | Quantify the smoothness of a vector |
| check_sphericity | Bartlett's Test of Sphericity |
| ci.glm | Confidence Interval (CI) |
| ci.glmmTMB | Confidence Interval (CI) |
| ci.hurdle | Confidence Interval (CI) |
| ci.merMod | Confidence Interval (CI) |
| ci.MixMod | Confidence Interval (CI) |
| ci.zeroinfl | Confidence Interval (CI) |
| ci_wald | Wald-test approximation for CIs and p-values |
| cmds | Classical Multidimensional Scaling (cMDS) |
| cohens_f | ANOVA Effect Size (Omega Squared, Eta Squared, Epsilon Squared) |
| convert_data_to_numeric | Convert data to numeric |
| convert_d_to_odds | Conversion between (log)odds and standardized difference |
| convert_d_to_r | Conversion between standardized difference d and correlation r |
| convert_efa_to_cfa | Conversion between EFA results and CFA structure |
| convert_efa_to_cfa.fa | Conversion between EFA results and CFA structure |
| convert_odds_to_d | Conversion between (log)odds and standardized difference |
| convert_odds_to_probs | Conversion between (log)odds and probabilities |
| convert_probs_to_odds | Conversion between (log)odds and probabilities |
| convert_r_to_d | Conversion between standardized difference d and correlation r |
| data_partition | Partition data into a test and a training set |
| data_to_numeric | Convert data to numeric |
| describe_distribution | Describe a Distribution |
| dof_kenward | p-values using Kenward-Roger approximation |
| DRR | Dimensionality Reduction via Regression (DRR) |
| d_to_odds | Conversion between (log)odds and standardized difference |
| d_to_r | Conversion between standardized difference d and correlation r |
| efa_to_cfa | Conversion between EFA results and CFA structure |
| epsilon_squared | ANOVA Effect Size (Omega Squared, Eta Squared, Epsilon Squared) |
| equivalence_test.lm | Equivalence test |
| eta_squared | ANOVA Effect Size (Omega Squared, Eta Squared, Epsilon Squared) |
| eta_squared.aov | ANOVA Effect Size (Omega Squared, Eta Squared, Epsilon Squared) |
| format_bf | Bayes Factor Formatting |
| format_ci | Confidence/Credible Interval (CI) Formatting |
| format_number | Convert number to words |
| format_order | Order (first, second, ...) formatting |
| format_p | p-values formatting |
| format_parameters | Parameters Names Formatting |
| format_pd | Probability of direction (pd) Formatting |
| format_rope | Percentage in ROPE Formatting |
| format_standardize | Transform a standardized vector into character |
| ICA | Independent Component Analysis (ICA) |
| kurtosis | Compute Skewness and Kurtosis |
| model_bootstrap | Model bootstrapping |
| model_parameters | Model Parameters |
| model_parameters.aov | ANOVAs Parameters |
| model_parameters.befa | Format PCA/FA from the psych package |
| model_parameters.BFBayesFactor | BayesFactor objects Parameters |
| model_parameters.gam | Parameters of Generalized Additive (Mixed) Models |
| model_parameters.glmmTMB | Mixed Model Parameters |
| model_parameters.htest | Correlations and t-test Parameters |
| model_parameters.lavaan | Format CFA/SEM from the lavaan package |
| model_parameters.lm | Parameters of (General) Linear Models |
| model_parameters.lme | Mixed Model Parameters |
| model_parameters.merMod | Mixed Model Parameters |
| model_parameters.PCA | Structural Models (PCA, EFA, ...) |
| model_parameters.polr | Parameters of (General) Linear Models |
| model_parameters.principal | Structural Models (PCA, EFA, ...) |
| model_parameters.stanreg | Bayesian Models Parameters |
| model_parameters.zeroinfl | Model Parameters for Zero-Inflated Models |
| model_simulate | Simulated draws from model coefficients |
| model_simulate.glmmTMB | Simulated draws from model coefficients |
| normalize | Normalization |
| normalize.data.frame | Normalization |
| normalize.grouped_df | Normalization |
| normalize.numeric | Normalization |
| n_factors | Number of Components/Factors to Retain |
| n_parameters | Count how many parameters in a model |
| odds_to_d | Conversion between (log)odds and standardized difference |
| odds_to_probs | Conversion between (log)odds and probabilities |
| odds_to_probs.data.frame | Conversion between (log)odds and probabilities |
| omega_squared | ANOVA Effect Size (Omega Squared, Eta Squared, Epsilon Squared) |
| parameters | Model Parameters |
| parameters_bootstrap | Parameters bootstrapping |
| parameters_reduction | Dimensionality reduction (DR) / Features Reduction |
| parameters_selection | Parameters Selection |
| parameters_selection.lm | Parameters Selection |
| parameters_selection.merMod | Parameters Selection |
| parameters_selection.stanreg | Parameters Selection |
| parameters_simulate | Parameters simulation |
| parameters_standardize | Parameters standardization |
| parameters_table | Parameters Table Formatting |
| parameters_type | Type of Model Parameters |
| principal_components | Principal Component Analysis (PCA) |
| Print model parameters | |
| print.parameters_model | Print model parameters |
| probs_to_odds | Conversion between (log)odds and probabilities |
| p_value | p-values |
| p_value.glmmTMB | p-values |
| p_value.lmerMod | p-values |
| p_value.MixMod | p-values |
| p_value_kenward | p-values using Kenward-Roger approximation |
| p_value_wald | Wald-test approximation for CIs and p-values |
| p_value_wald.merMod | Wald-test approximation for CIs and p-values |
| reshape_loadings | Reshape loadings between wide/long formats |
| reshape_loadings.data.frame | Reshape loadings between wide/long formats |
| reshape_loadings.parameters_efa | Reshape loadings between wide/long formats |
| r_to_d | Conversion between standardized difference d and correlation r |
| se | Extract standard errors |
| se_kenward | p-values using Kenward-Roger approximation |
| skewness | Compute Skewness and Kurtosis |
| smoothness | Quantify the smoothness of a vector |
| standardize | Standardization (Z-scoring) |
| standardize.data.frame | Standardization (Z-scoring) |
| standardize.factor | Standardization (Z-scoring) |
| standardize.lm | Standardization (Z-scoring) |
| standardize.numeric | Standardization (Z-scoring) |
| standardize_names | Standardize column names |
| standardize_names.parameters_model | Standardize column names |
| standard_error | Extract standard errors |
| standard_error.factor | Extract standard errors |
| standard_error.glmmTMB | Extract standard errors |
| standard_error.MixMod | Extract standard errors |