addLink | Add a New Link Between Two Variables in a LVM |
autoplot_calibrateType1 | Graphical Display of the Bias or Type 1 Error |
autoplot.intDensTri | 2D-display of the Domain Used to Compute the Integral |
autoplot.modelsearch2 | Display the Value of a Coefficient across the Steps. |
calcDistMax | Adjust the p.values Using the Quantiles of the Max Statistic |
calcType1postSelection | Compute the Type 1 Error After Selection [EXPERIMENTAL] |
calibrateType1 | Simulation Study Assessing Bias and Type 1 Error |
checkData | Check that Validity of the Dataset |
clean | Simplify a lvm object |
coef2 | Model Coefficients With Small Sample Correction |
coefByType | Extract the Coefficient by Type |
coefType | Extract the Type of Each Coefficient |
combination | Form all Unique Combinations Between two Vectors |
combineFormula | Combine formula |
compare2 | Test Linear Hypotheses With Small Sample Correction |
confint2 | Confidence Intervals With Small Sample Correction |
contrast2name | Create Rownames for a Contrast Matrix |
convFormulaCharacter | formula character conversion |
createContrast | Create Contrast matrix |
createGrid | Create a Mesh for the Integration |
defineCategoricalLink | Identify Categorical Links in LVM |
dfSigma | Degree of Freedom for the Chi-Square Test |
dot-dinformation2-internal | Compute the First Derivative of the Expected Information... |
effects2 | Effects Through Pathways With Small Sample Correction |
estimate2 | Satterthwaite Correction and Small Sample Correction |
evalInParentEnv | Find Object in the Parent Environments |
extractData | Extract Data From a Latent Variable Model |
findNewLink | Find all New Links Between Variables |
gaussian_weight | Estimate LVM With Weights |
getIndexOmega | Identify the Endogenous Variables |
getNewLink | Extract the Links that Have Been Found by the modelsearch2. |
getNewModel | Extract the Model that Has Been Retains by the modelsearch2. |
getStep | Extract one Step From the Sequential Procedure |
getVarCov2 | Residual Variance-Covariance Matrix With Small Sample... |
glht2 | General Linear Hypothesis Testing With Small Sample... |
hessian2 | Hessian With Small Sample Correction. |
hessian2-internal | Compute the Hessian Matrix From the Conditional Moments |
iid2 | Influence Function With Small Sample Correction. |
iid2plot | Display the i.i.d. Decomposition |
iidJack | Jackknife iid Decomposition from Model Object |
information2 | Expected Information With Small Sample Correction. |
information2-internal | Compute the Expected Information Matrix From the Conditional... |
initVarLink | Normalize var1 and var2 |
intDensTri | Integrate a Gaussian/Student Density over a Triangle |
lavaSearch2 | Tools for Model Specification in the Latent Variable... |
leverage2 | Leverage With Small Sample Correction. |
matrixPower | Power of a Matrix |
modelsearch2 | Data-driven Extension of a Latent Variable Model |
moments2 | Compute Key Quantities of a Latent Variable Model |
nobs2 | Effective Sample Size. |
nStep | Find the Number of Steps Performed During the Sequential... |
residuals2 | Residuals With Small Sample Correction. |
sampleRepeated | Simulate Repeated Measurements over time |
score2 | Score With Small Sample Correction |
score2-internal | Compute the Corrected Score. |
sCorrect | Depreciated Method For Small Sample Correction |
selectRegressor | Regressor of a Formula. |
selectResponse | Response Variable of a Formula |
setLink | Set a Link to a Value |
skeleton | Pre-computation for the Score |
summary2 | Latent Variable Model Summary After Small Sample Correction |
summary.calibrateType1 | Display the Type 1 Error Rate |
summary.glht2 | Outcome of Linear Hypothesis Testing |
summary.modelsearch2 | summary Method for modelsearch2 Objects |
symmetrize | Symmetrize a Matrix |
transformSummaryTable | Apply Transformation to Summary Table |
tryWithWarnings | Run an Expression and Catch Warnings and Errors |
var2dummy | Convert Variable Names to Dummy Variables Names. |
vcov2 | Variance-Covariance With Small Sample Correction |
vcov2-internal | Inverse the Information Matrix |
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