| bootstrap_model | Model bootstrapping | 
| bootstrap_model.default | Model bootstrapping | 
| bootstrap_parameters | Parameters bootstrapping | 
| bootstrap_parameters.default | Parameters bootstrapping | 
| ci.default | Confidence Intervals (CI) | 
| ci_betwithin | Between-within approximation for SEs, CIs and p-values | 
| ci_kenward | Kenward-Roger approximation for SEs, CIs and p-values | 
| ci_ml1 | "m-l-1" approximation for SEs, CIs and p-values | 
| ci_satterthwaite | Satterthwaite approximation for SEs, CIs and p-values | 
| closest_component | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| cluster_analysis | Cluster Analysis | 
| cluster_centers | Find the cluster centers in your data | 
| cluster_discrimination | Compute a linear discriminant analysis on classified cluster groups | 
| cluster_meta | Metaclustering | 
| cluster_performance | Performance of clustering models | 
| cluster_performance.hclust | Performance of clustering models | 
| compare_models | Compare model parameters of multiple models | 
| compare_parameters | Compare model parameters of multiple models | 
| confidence_curve | p-value or consonance function | 
| consonance_function | p-value or consonance function | 
| convert_efa_to_cfa | Conversion between EFA results and CFA structure | 
| convert_efa_to_cfa.fa | Conversion between EFA results and CFA structure | 
| degrees_of_freedom | Degrees of Freedom (DoF) | 
| display.equivalence_test_lm | Print tables in different output formats | 
| display.parameters_efa | Print tables in different output formats | 
| display.parameters_efa_summary | Print tables in different output formats | 
| display.parameters_model | Print tables in different output formats | 
| display.parameters_sem | Print tables in different output formats | 
| dof | Degrees of Freedom (DoF) | 
| dof_betwithin | Between-within approximation for SEs, CIs and p-values | 
| dof_kenward | Kenward-Roger approximation for SEs, CIs and p-values | 
| dof_ml1 | "m-l-1" approximation for SEs, CIs and p-values | 
| dof_satterthwaite | Satterthwaite approximation for SEs, CIs and p-values | 
| dominance_analysis | Dominance Analysis | 
| efa_to_cfa | Conversion between EFA results and CFA structure | 
| equivalence_test.lm | Equivalence test | 
| factor_analysis | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| fish | Sample data set | 
| format.compare_parameters | Print comparisons of model parameters | 
| format.parameters_model | Print model parameters | 
| format_df_adjust | Format the name of the degrees-of-freedom adjustment methods | 
| format_order | Order (first, second, ...) formatting | 
| format_parameters | Parameter names formatting | 
| format_parameters.default | Parameter names formatting | 
| format_p_adjust | Format the name of the p-value adjustment methods | 
| get_scores | Get Scores from Principal Component Analysis (PCA) | 
| model_parameters | Model Parameters | 
| model_parameters.aov | Parameters from ANOVAs | 
| model_parameters.befa | Parameters from Bayesian Exploratory Factor Analysis | 
| model_parameters.BFBayesFactor | Parameters from BayesFactor objects | 
| model_parameters.brmsfit | Parameters from Bayesian Models | 
| model_parameters.cgam | Parameters from Generalized Additive (Mixed) Models | 
| model_parameters.coeftest | Parameters from hypothesis tests | 
| model_parameters.compare.loo | Bayesian Model Comparison | 
| model_parameters.data.frame | Parameters from Bayesian Models | 
| model_parameters.default | Parameters from (General) Linear Models | 
| model_parameters.glht | Parameters from Hypothesis Testing | 
| model_parameters.glimML | Parameters from special models | 
| model_parameters.glmmTMB | Parameters from Mixed Models | 
| model_parameters.hclust | Parameters from Cluster Models (k-means, ...) | 
| model_parameters.htest | Parameters from hypothesis tests | 
| model_parameters.lavaan | Parameters from PCA, FA, CFA, SEM | 
| model_parameters.mira | Parameters from multiply imputed repeated analyses | 
| model_parameters.mlm | Parameters from multinomial or cumulative link models | 
| model_parameters.principal | Parameters from PCA, FA, CFA, SEM | 
| model_parameters.rma | Parameters from Meta-Analysis | 
| model_parameters.t1way | Parameters from robust statistical objects in 'WRS2' | 
| model_parameters.zcpglm | Parameters from Zero-Inflated Models | 
| n_clusters | Find number of clusters in your data | 
| n_clusters_dbscan | Find number of clusters in your data | 
| n_clusters_elbow | Find number of clusters in your data | 
| n_clusters_gap | Find number of clusters in your data | 
| n_clusters_hclust | Find number of clusters in your data | 
| n_clusters_silhouette | Find number of clusters in your data | 
| n_components | Number of components/factors to retain in PCA/FA | 
| n_factors | Number of components/factors to retain in PCA/FA | 
| parameters | Model Parameters | 
| parameters_type | Type of model parameters | 
| pool_parameters | Pool Model Parameters | 
| predict.parameters_clusters | Predict method for parameters_clusters objects | 
| predict.parameters_efa | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| principal_components | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| print.compare_parameters | Print comparisons of model parameters | 
| print.parameters_efa | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| print.parameters_model | Print model parameters | 
| print_html.compare_parameters | Print comparisons of model parameters | 
| print_html.parameters_model | Print model parameters | 
| print_md.compare_parameters | Print comparisons of model parameters | 
| print_md.parameters_model | Print model parameters | 
| print_table | Print tables in different output formats | 
| p_calibrate | Calculate calibrated p-values. | 
| p_calibrate.default | Calculate calibrated p-values. | 
| p_direction.lm | Probability of Direction (pd) | 
| p_function | p-value or consonance function | 
| p_significance.lm | Practical Significance (ps) | 
| p_value | p-values | 
| p_value.default | p-values | 
| p_value.emmGrid | p-values | 
| p_value_betwithin | Between-within approximation for SEs, CIs and p-values | 
| p_value_kenward | Kenward-Roger approximation for SEs, CIs and p-values | 
| p_value_ml1 | "m-l-1" approximation for SEs, CIs and p-values | 
| p_value_satterthwaite | Satterthwaite approximation for SEs, CIs and p-values | 
| qol_cancer | Sample data set | 
| random_parameters | Summary information from random effects | 
| reduce_data | Dimensionality reduction (DR) / Features Reduction | 
| reduce_parameters | Dimensionality reduction (DR) / Features Reduction | 
| 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 | 
| rotated_data | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| select_parameters | Automated selection of model parameters | 
| select_parameters.lm | Automated selection of model parameters | 
| select_parameters.merMod | Automated selection of model parameters | 
| se_kenward | Kenward-Roger approximation for SEs, CIs and p-values | 
| se_satterthwaite | Satterthwaite approximation for SEs, CIs and p-values | 
| simulate_model | Simulated draws from model coefficients | 
| simulate_model.default | Simulated draws from model coefficients | 
| simulate_parameters | Simulate Model Parameters | 
| simulate_parameters.default | Simulate Model Parameters | 
| sort.parameters_efa | Principal Component Analysis (PCA) and Factor Analysis (FA) | 
| sort_parameters | Sort parameters by coefficient values | 
| sort_parameters.default | Sort parameters by coefficient values | 
| standardise_info | Get Standardization Information | 
| standardise_parameters | Parameters standardization | 
| standardise_posteriors | Parameters standardization | 
| standardize_info | Get Standardization Information | 
| standardize_info.default | Get Standardization Information | 
| standardize_parameters | Parameters standardization | 
| standardize_posteriors | Parameters standardization | 
| standard_error | Standard Errors | 
| standard_error.default | Standard Errors | 
| standard_error.factor | Standard Errors | 
| summary.parameters_model | Print model parameters |