| bootstrap_model | Model bootstrapping |
| bootstrap_parameters | Parameters bootstrapping |
| ci.default | Confidence Intervals (CI) |
| cluster_analysis | Cluster Analysis |
| cluster_centers | Find the cluster centers in your data |
| cluster_discrimination | Compute a linear discriminant analysis on classified cluster... |
| cluster_meta | Metaclustering |
| cluster_performance | Performance of clustering models |
| compare_parameters | Compare model parameters of multiple models |
| convert_efa_to_cfa | Conversion between EFA results and CFA structure |
| degrees_of_freedom | Degrees of Freedom (DoF) |
| display.parameters_model | Print tables in different output formats |
| dominance_analysis | Dominance Analysis |
| dot-data_frame | help-functions |
| dot-factor_to_dummy | Safe transformation from factor/character to numeric |
| dot-filter_component | for models with zero-inflation component, return required... |
| dot-n_factors_bartlett | Bartlett, Anderson and Lawley Procedures |
| dot-n_factors_bentler | Bentler and Yuan's Procedure |
| dot-n_factors_cng | Cattell-Nelson-Gorsuch CNG Indices |
| dot-n_factors_mreg | Multiple Regression Procedure |
| dot-n_factors_scree | Non Graphical Cattell's Scree Test |
| dot-n_factors_sescree | Standard Error Scree and Coefficient of Determination... |
| equivalence_test.lm | Equivalence test |
| fish | Sample data set |
| format_df_adjust | Format the name of the degrees-of-freedom adjustment methods |
| format_order | Order (first, second, ...) formatting |
| format_p_adjust | Format the name of the p-value adjustment methods |
| format_parameters | Parameter names formatting |
| get_scores | Get Scores from Principal Component Analysis (PCA) |
| model_parameters | Model Parameters |
| model_parameters.aov | Parameters from ANOVAs |
| model_parameters.averaging | Parameters from special models |
| model_parameters.befa | Parameters from Bayesian Exploratory Factor Analysis |
| model_parameters.BFBayesFactor | Parameters from BayesFactor objects |
| model_parameters.cgam | Parameters from Generalized Additive (Mixed) Models |
| model_parameters.default | Parameters from (General) Linear Models |
| model_parameters.glht | Parameters from Hypothesis Testing |
| model_parameters.htest | Parameters from hypothesis tests |
| model_parameters.kmeans | Parameters from Cluster Models (k-means, ...) |
| model_parameters.merMod | Parameters from Mixed Models |
| 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.stanreg | Parameters from Bayesian Models |
| 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_factors | Number of components/factors to retain in PCA/FA |
| parameters-package | parameters: Extracting, Computing and Exploring the... |
| parameters_type | Type of model parameters |
| p_calibrate | Calculate calibrated p-values. |
| p_direction.lm | Probability of Direction (pd) |
| p_function | p-value or consonance function |
| pool_parameters | Pool Model Parameters |
| predict.parameters_clusters | Predict method for parameters_clusters objects |
| principal_components | Principal Component Analysis (PCA) and Factor Analysis (FA) |
| print.compare_parameters | Print comparisons of model parameters |
| print.parameters_model | Print model parameters |
| p_significance.lm | Practical Significance (ps) |
| p_value | p-values |
| p_value_betwithin | Between-within approximation for SEs, CIs and p-values |
| p_value.BFBayesFactor | p-values for Bayesian Models |
| p_value.DirichletRegModel | p-values for Models with Special Components |
| 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.poissonmfx | p-values for Marginal Effects Models |
| p_value_satterthwaite | Satterthwaite approximation for SEs, CIs and p-values |
| p_value.zcpglm | p-values for Models with Zero-Inflation |
| qol_cancer | Sample data set |
| random_parameters | Summary information from random effects |
| reduce_parameters | Dimensionality reduction (DR) / Features Reduction |
| reexports | Objects exported from other packages |
| reshape_loadings | Reshape loadings between wide/long formats |
| select_parameters | Automated selection of model parameters |
| simulate_model | Simulated draws from model coefficients |
| simulate_parameters | Simulate Model Parameters |
| sort_parameters | Sort parameters by coefficient values |
| standard_error | Standard Errors |
| standardize_info | Get Standardization Information |
| standardize_parameters | Parameters standardization |
