Man pages for bozenne/lavaSearch2
Tools for Model Specification in the Latent Variable Framework
| 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 |
