All functions

TPB_Ordered

TPB_Ordered

boot() pls_boot(<PlsModel>)

Retrieve bootstrap coefficient matrix

coef(<PlsModel>) coefficients(<PlsModel>)

Extract coefficients from a PlsModel model

coef(<PlsMultilevelModel>) coefficients(<PlsMultilevelModel>)

Extract coefficients from a PlsMultilevelModel model

fit_measures(<PlsMultilevelModel>)

Fit measures for PlsMultilevelModel objects

fit_measures()

Fit Measures

is_admissible()

Check whether a fitted model has admissible parameter estimates

is_mcpls()

Check whether an object uses the MC-OrdPLSc estimator

mcpls_loglik()

Loglikelihood of MC-PLS parameters

oneIntOrdered

oneIntOrdered

parameter_estimates(<PlsModel>)

Parameter estimates for PlsModel objects

parameter_estimates(<PlsMultilevelModel>)

Parameter estimates for PlsMultilevelModel objects

parameter_estimates()

Generic accessor for model parameter estimates

pls()

Fit Partial Least Squares Structural Equation Models

pls_boot()

Retrieve bootstrap coefficient matrix

pls_chisq() pls_chisq_df(<PlsModel>)

Chi-Square

pls_chisq_df()

Chi-Square Degrees of Freedom

pls_construct_scores()

Construct latent variable scores

pls_implied_construct_corr()

Implied Construct Correlation Matrix

pls_implied_indicator_corr()

Implied Indicator Correlation Matrix

pls_implied_joint_corr()

Implied Joint Correlation Matrix

pls_inspect()

Inspect a fitted PLS-SEM model

pls_predict()

Predict from a fitted PLS-SEM model

pls_rmsea()

RMSEA

pls_srmr()

SRMR

predict(<PlsModel>)

Predict from a fitted PlsModel (alias for pls_predict)

print(<PlsSemPredict>)

Print a PlsSemPredict object

print(<SummaryPlsMultilevel>)

Print a SummaryPlsMultilevel object

print(<SummaryPlsSem>)

Print a SummaryPlsSem object

randomSlopes

randomSlopes

randomSlopesOrdered

randomSlopesOrdered

show(<PlsModel>)

Show a PlsModel object

show(<PlsMultilevelModel>)

Show a PlsMultilevelModel object

summary(<PlsModel>)

Summarize a fitted PlsModel model

summary(<PlsMultilevelModel>)

Summarize a fitted PlsMultilevelModel model

titanic

Titanic Passenger Survival Data Set.

unstandardized_estimates()

Unstandardized Parameter Estimates

vcov(<PlsModel>)

Extract the variance-covariance matrix from a PlsModel model

vcov(<PlsMultilevelModel>)

Extract the variance-covariance matrix from a PlsMultilevelModel model