addLink                 Add a New Link Between Two Variables in a LVM
autoplot.intDensTri     2D-display of the Domain Used to Compute the
                        Integral
autoplot_calibrateType1
                        Graphical Display of the Bias or Type 1 Error
calcDistMax             Adjust the p.values Using the Quantiles of the
                        Max Statistic
calcType1postSelection
                        Compute the Type 1 Error After Selection
calibrateType           Simulation Study Assessing Bias and Type 1
                        Error
checkData               Check that Validity of the Dataset
coefByType              Extract the Coefficient by Type
coefType                Extract the Type of Each Coefficient
compare2                Test Linear Hypotheses with small sample
                        correction
compareSearch           Compare Methods to Identify Missing Local
                        Dependencies in a LVM
createContrast          Create Contrast matrix
estfun.lvmfit           Extract Empirical Estimating Functions (lvmfit
                        Object)
extractData             Extract Data From a Model
findNewLink             Find all New Links Between Variables
getNewLink              Extract the Links that Have Been Found by the
                        modelsearch2.
getStep                 Extract one Step From the Sequential Procedure
getVarCov2              Reconstruct the Conditional Variance Covariance
                        Matrix
glht2                   General Linear Hypothesis
iid2                    Extract corrected i.i.d. decomposition
iidJack                 Jackknife iid Decomposition from Model Object
initVarLink             Normalize var1 and var2
intDensTri              Integrate a Gaussian/Student Density over a
                        Triangle
lavaSearch2             Tools for Model Specification in the Latent
                        Variable Framework
leverage2               Extract Leverage Values
modelsearch2            Data-driven Extension of a Latent Variable
                        Model
nStep                   Find the Number of Steps Performed During the
                        Sequential Testing
residuals2              Extract Corrected Residuals
sCorrect                Compute the Derivative of the Information
                        Matrix
score2                  Extract The Individual Score
setLink                 Set a Link to a Value
summary.modelsearch2    summary Method for modelsearch2 Objects
summary2                Summary with Small Sample Correction
tryWithWarnings         Run an Expression and Catch Warnings and Errors
vcov2                   Extract the Variance Covariance Matrix of the
                        Model Parameters
