Complex Partial Least Squares Structural Equation Modeling


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Documentation for package ‘plssem’ version 0.1.3

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boot Retrieve bootstrap coefficient matrix
boot-method Retrieve bootstrap coefficient matrix
coef-method Extract coefficients from a 'PlsModel' model
coefficients-method Extract coefficients from a 'PlsModel' model
fit_measures Fit Measures
fit_measures-method Fit Measures
is_admissible Check whether a fitted model has admissible parameter estimates
is_admissible-method Check whether a fitted model has admissible parameter estimates
is_mcpls Check whether an object uses the MC-OrdPLSc estimator
is_mcpls-method Check whether an object uses the MC-OrdPLSc estimator
mcpls_loglik Loglikelihood of MC-PLS parameters
mcpls_loglik-method Loglikelihood of MC-PLS parameters
oneIntOrdered oneIntOrdered
parameter_estimates Generic accessor for model parameter estimates
parameter_estimates-method Parameter estimates for 'PlsModel' objects
pls Fit Partial Least Squares Structural Equation Models
pls_boot Retrieve bootstrap coefficient matrix
pls_boot-method Retrieve bootstrap coefficient matrix
pls_chisq Chi-Square
pls_chisq-method Chi-Square
pls_chisq_df Chi-Square Degrees of Freedom
pls_chisq_df-method Chi-Square
pls_construct_scores Construct latent variable scores
pls_implied_construct_corr Implied Construct Correlation Matrix
pls_implied_construct_corr-method Implied Construct Correlation Matrix
pls_implied_indicator_corr Implied Indicator Correlation Matrix
pls_implied_indicator_corr-method Implied Indicator Correlation Matrix
pls_implied_joint_corr Implied Joint Correlation Matrix
pls_implied_joint_corr-method Implied Joint Correlation Matrix
pls_inspect Inspect a fitted PLS-SEM model
pls_inspect-method Inspect a fitted PLS-SEM model
pls_predict Predict from a fitted PLS-SEM model
pls_predict-method Predict from a fitted PLS-SEM model
pls_rmsea RMSEA
pls_rmsea-method RMSEA
pls_srmr SRMR
pls_srmr-method SRMR
predict-method Predict from a fitted 'PlsModel' (alias for 'pls_predict')
print.PlsSemPredict Print a 'PlsSemPredict' object
print.SummaryPlsSem Print a 'SummaryPlsSem' object
randomIntercepts randomIntercepts
randomInterceptsOrdered randomInterceptsOrdered
randomSlopes randomSlopes
randomSlopesOrdered randomSlopesOrdered
show-method Show a 'PlsModel' object
summary-method Summarize a fitted 'PlsModel' model
titanic Titanic Passenger Survival Data Set.
TPB_Ordered TPB_Ordered
unstandardized_estimates Unstandardized Parameter Estimates
unstandardized_estimates-method Unstandardized Parameter Estimates
vcov-method Extract the variance-covariance matrix from a 'PlsModel' model