Man pages for parameters
Processing of Model Parameters

bootstrap_modelModel bootstrapping
bootstrap_parametersParameters bootstrapping
check_clusterstructureCheck suitability of data for clustering
check_factorstructureCheck suitability of data for Factor Analysis (FA)
check_heterogeneityCheck model predictor for heterogeneity bias
check_kmoKaiser, Meyer, Olkin (KMO) Measure of Sampling Adequacy (MSA)...
check_sphericity_bartlettBartlett's Test of Sphericity
ci.defaultConfidence Intervals (CI)
cluster_analysisCompute cluster analysis and return group indices
cluster_centersFind the cluster centers in your data
cluster_discriminationCompute a linear discriminant analysis on classified cluster...
cluster_metaMetaclustering
cluster_performancePerformance of clustering models
compare_parametersCompare model parameters of multiple models
convert_efa_to_cfaConversion between EFA results and CFA structure
degrees_of_freedomDegrees of Freedom (DoF)
display.parameters_modelPrint tables in different output formats
dot-compact_characterremove empty string from character
dot-compact_listremove NULL elements from lists
dot-data_framehelp-functions
dot-factor_to_dummySafe transformation from factor/character to numeric
dot-factor_to_numericSafe transformation from factor/character to numeric
dot-filter_componentfor models with zero-inflation component, return required...
dot-find_most_commonFind most common occurence
dot-flatten_listFlatten a list
dot-n_factors_bartlettBartlett, Anderson and Lawley Procedures
dot-n_factors_bentlerBentler and Yuan's Procedure
dot-n_factors_cngCattell-Nelson-Gorsuch CNG Indices
dot-n_factors_mregMultiple Regression Procedure
dot-n_factors_screeNon Graphical Cattell's Scree Test
dot-n_factors_sescreeStandard Error Scree and Coefficient of Determination...
dot-recode_to_zeroRecode a variable so its lowest value is beginning with zero
equivalence_test.lmEquivalence test
fishSample data set
format_df_adjustFormat the name of the degrees-of-freedom adjustment methods
format_orderOrder (first, second, ...) formatting
format_p_adjustFormat the name of the p-value adjustment methods
format_parametersParameter names formatting
get_scoresGet Scores from Principal Component Analysis (PCA)
model_parametersModel Parameters
model_parameters.aovParameters from ANOVAs
model_parameters.averagingParameters from special models
model_parameters.befaParameters from Bayesian Exploratory Factor Analysis
model_parameters.BFBayesFactorParameters from BayesFactor objects
model_parameters.cgamParameters from Generalized Additive (Mixed) Models
model_parameters.defaultParameters from (General) Linear Models
model_parameters.glhtParameters from Hypothesis Testing
model_parameters.htestParameters from hypothesis tests
model_parameters.kmeansParameters from Cluster Models (k-means, ...)
model_parameters.lavaanParameters from CFA/SEM models
model_parameters.merModParameters from Mixed Models
model_parameters.miraParameters from multiply imputed repeated analyses
model_parameters.mlmParameters from multinomial or cumulative link models
model_parameters.principalParameters from Structural Models (PCA, EFA, ...)
model_parameters.rmaParameters from Meta-Analysis
model_parameters.stanregParameters from Bayesian Models
model_parameters.t1wayParameters from robust statistical objects in 'WRS2'
model_parameters.zcpglmParameters from Zero-Inflated Models
n_clustersFind number of clusters in your data
n_factorsNumber of components/factors to retain in PCA/FA
parameters_typeType of model parameters
pool_parametersPool Model Parameters
principal_componentsPrincipal Component Analysis (PCA) and Factor Analysis (FA)
print.parameters_modelPrint model parameters
p_valuep-values
p_value_betwithinBetween-within approximation for SEs, CIs and p-values
p_value.BFBayesFactorp-values for Bayesian Models
p_value.DirichletRegModelp-values for Models with Special Components
p_value_kenwardKenward-Roger approximation for SEs, CIs and p-values
p_value_ml1"m-l-1" approximation for SEs, CIs and p-values
p_value.poissonmfxp-values for Marginal Effects Models
p_value_satterthwaiteSatterthwaite approximation for SEs, CIs and p-values
p_value.zcpglmp-values for Models with Zero-Inflation
qol_cancerSample data set
random_parametersSummary information from random effects
reduce_parametersDimensionality reduction (DR) / Features Reduction
reexportsObjects exported from other packages
reshape_loadingsReshape loadings between wide/long formats
select_parametersAutomated selection of model parameters
simulate_modelSimulated draws from model coefficients
simulate_parametersSimulate Model Parameters
standard_errorStandard Errors
standard_error_robustRobust estimation
parameters documentation built on Oct. 19, 2021, 1:07 a.m.