Man pages for easystats/parameters
Processing of Model Parameters

check_clusterstructureCheck suitability of data for Clustering
check_factorstructureCheck suitability of data for Factor Analysis (FA)
check_kmoKaiser, Meyer, Olkin (KMO) Measure of Sampling Adequacy (MSA)...
check_multimodalCheck if a distribution is unimodal or multimodal
check_sphericityBartlett's Test of Sphericity
ci.merModConfidence Interval (CI)
cluster_discriminationCompute a linear discriminant analysis on classified cluster...
cluster_groupsCompute cluster analysis and return group indices
cmdsClassical Multidimensional Scaling (cMDS)
convert_data_to_numericConvert data to numeric
convert_efa_to_cfaConversion between EFA results and CFA structure
data_partitionPartition data into a test and a training set
degrees_of_freedomDegrees of Freedom (DoF)
demeanCompute group-meaned and de-meaned variables
describe_distributionDescribe a Distribution
dot-data_framehelp-functions
dot-factor_to_numericSafe transformation from factor/character to numeric
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
DRRDimensionality Reduction via Regression (DRR)
equivalence_test.lmEquivalence test
factor_analysisFactor Analysis (FA)
format_algorithmModel Algorithm Formatting
format_bfBayes Factor Formatting
format_ciConfidence/Credible Interval (CI) Formatting
format_modelModel Name Formatting
format_numberConvert number to words
format_orderOrder (first, second, ...) formatting
format_pp-values formatting
format_parametersParameters Names Formatting
format_pdProbability of direction (pd) Formatting
format_ropePercentage in ROPE Formatting
ICAIndependent Component Analysis (ICA)
model_bootstrapModel bootstrapping
model_parametersModel Parameters
model_parameters.aovANOVAs Parameters
model_parameters.befaFormat PCA/FA from the psych package
model_parameters.BFBayesFactorBayesFactor objects Parameters
model_parameters.defaultParameters of (General) Linear Models
model_parameters.gamParameters of Generalized Additive (Mixed) Models
model_parameters.htestCorrelations and t-test Parameters
model_parameters.kmeansCluster Models (k-means, ...)
model_parameters.lavaanFormat CFA/SEM from the lavaan package
model_parameters.MclustMixture Models Parameters
model_parameters.merModMixed Model Parameters
model_parameters.principalStructural Models (PCA, EFA, ...)
model_parameters.stanregBayesian Models Parameters
model_parameters.zeroinflModel Parameters for Zero-Inflated Models
model_simulateSimulated draws from model coefficients
n_clustersNumber of Clusters to Extract
n_factorsNumber of Components/Factors to Retain in Factor Analysis
n_parametersCount number parameters in a model
parameters_bootstrapParameters bootstrapping
parameters_reductionDimensionality reduction (DR) / Features Reduction
parameters_selectionParameters Selection
parameters_simulateParameters simulation
parameters_tableParameters Table Formatting
parameters_typeType of Model Parameters
principal_componentsPrincipal Component Analysis (PCA)
printPrint model parameters
p_valuep-values
p_value_kenwardp-values using Kenward-Roger approximation
p_value_waldWald-test approximation for CIs and p-values
reexportsObjects exported from other packages
reshape_loadingsReshape loadings between wide/long formats
skewnessCompute Skewness and Kurtosis
smoothnessQuantify the smoothness of a vector
standard_errorExtract standard errors
standardize_namesStandardize column names
easystats/parameters documentation built on Nov. 12, 2019, 2:25 a.m.