Tools for Model Specification in the Latent Variable Framework
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Documentation for package ‘lavaSearch2’ version 2.0.3
Help Pages
| lavaSearch2-package | Tools for Model Specification in the Latent Variable Framework |
-- A --
| addLink | Add a New Link Between Two Variables in a LVM |
| addLink.lvm | Add a New Link Between Two Variables in a LVM |
| addLink.lvm.reduced | 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. |
| autoplot_calibrateType1 | Graphical Display of the Bias or Type 1 Error |
| autplot-modelsearch2 | Display the Value of a Coefficient across the Steps. |
-- C --
| calcDistMax | Adjust the p.values Using the Quantiles of the Max Statistic |
| calcDistMaxBootstrap | Adjust the p.values Using the Quantiles of the Max Statistic |
| calcDistMaxIntegral | 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 |
| calibrateType1.lvm | Simulation Study Assessing Bias and Type 1 Error |
| calibrateType1.lvmfit | Simulation Study Assessing Bias and Type 1 Error |
| checkData | Check that Validity of the Dataset |
| checkData.lvm | Check that Validity of the Dataset |
| clean | Simplify a lvm object |
| clean.lvm | Simplify a lvm object |
| coef2 | Model Coefficients With Small Sample Correction |
| coef2.lvmfit | Model Coefficients With Small Sample Correction |
| coefByType | Extract the Coefficient by Type |
| coefCov | Extract the Coefficient by Type |
| coefCov.lvm | Extract the Coefficient by Type |
| coefCov.lvmfit | Extract the Coefficient by Type |
| coefCov.multigroup | Extract the Coefficient by Type |
| coefExtra | Extract the Coefficient by Type |
| coefExtra.lvm | Extract the Coefficient by Type |
| coefExtra.lvmfit | Extract the Coefficient by Type |
| coefExtra.multigroup | Extract the Coefficient by Type |
| coefIndexModel | Extract the Coefficient by Type |
| coefIndexModel.lvm | Extract the Coefficient by Type |
| coefIndexModel.lvmfit | Extract the Coefficient by Type |
| coefIndexModel.multigroup | Extract the Coefficient by Type |
| coefIndexModel.multigroupfit | Extract the Coefficient by Type |
| coefIntercept | Extract the Coefficient by Type |
| coefIntercept.lvm | Extract the Coefficient by Type |
| coefIntercept.lvmfit | Extract the Coefficient by Type |
| coefIntercept.multigroup | Extract the Coefficient by Type |
| coefRef | Extract the Coefficient by Type |
| coefRef.lvmfit | Extract the Coefficient by Type |
| coefReg | Extract the Coefficient by Type |
| coefReg.lvm | Extract the Coefficient by Type |
| coefReg.lvmfit | Extract the Coefficient by Type |
| coefReg.multigroup | Extract the Coefficient by Type |
| coefType | Extract the Type of Each Coefficient |
| coefType.lvm | Extract the Type of Each Coefficient |
| coefType.lvmfit | Extract the Type of Each Coefficient |
| coefType.multigroup | Extract the Type of Each Coefficient |
| coefVar | Extract the Coefficient by Type |
| coefVar.lvm | Extract the Coefficient by Type |
| coefVar.lvmfit | Extract the Coefficient by Type |
| coefVar.multigroup | Extract the Coefficient by Type |
| combineFormula | Combine formula |
| compare.lvmfit2 | Test Linear Hypotheses With Small Sample Correction |
| compare2 | Test Linear Hypotheses With Small Sample Correction |
| compare2.lvmfit | Test Linear Hypotheses With Small Sample Correction |
| compare2.lvmfit2 | Test Linear Hypotheses With Small Sample Correction |
| confint2 | Confidence Intervals With Small Sample Correction |
| confint2.lvmfit | Confidence Intervals With Small Sample Correction |
| convFormulaCharacter | formula character conversion |
| createContrast | Create Contrast matrix |
| createContrast.character | Create Contrast matrix |
| createContrast.list | Create Contrast matrix |
| createContrast.lvmfit | Create Contrast matrix |
| createContrast.lvmfit2 | Create Contrast matrix |
| createContrast.mmm | Create Contrast matrix |
-- D --
| dfSigma | Degree of Freedom for the Chi-Square Test |
-- E --
| effects.lvmfit2 | Effects Through Pathways With Small Sample Correction |
| effects2 | Effects Through Pathways With Small Sample Correction |
| effects2.lvmfit | Effects Through Pathways With Small Sample Correction |
| effects2.lvmfit2 | Effects Through Pathways With Small Sample Correction |
| extractData | Extract Data From a Latent Variable Model |
| extractData.lvmfit | Extract Data From a Latent Variable Model |
-- F --
| findNewLink | Find all New Links Between Variables |
| findNewLink.lvm | Find all New Links Between Variables |
| formula2character | formula character conversion |
-- G --
| gaussian_weight | Estimate LVM With Weights |
| gaussian_weight.estimate.hook | Estimate LVM With Weights |
| gaussian_weight_gradient.lvm | Estimate LVM With Weights |
| gaussian_weight_hessian.lvm | Estimate LVM With Weights |
| gaussian_weight_logLik.lvm | Estimate LVM With Weights |
| gaussian_weight_method.lvm | Estimate LVM With Weights |
| gaussian_weight_objective.lvm | Estimate LVM With Weights |
| gaussian_weight_score.lvm | Estimate LVM With Weights |
| getNewLink | Extract the Links that Have Been Found by the modelsearch2. |
| getNewLink.modelsearch2 | Extract the Links that Have Been Found by the modelsearch2. |
| getNewModel | Extract the Model that Has Been Retains by the modelsearch2. |
| getNewModel.modelsearch2 | Extract the Model that Has Been Retains by the modelsearch2. |
| getStep | Extract one Step From the Sequential Procedure |
| getStep.modelsearch2 | Extract one Step From the Sequential Procedure |
| getVarCov2 | Residual Variance-Covariance Matrix With Small Sample Correction. |
| getVarCov2.lvmfit | Residual Variance-Covariance Matrix With Small Sample Correction. |
| getVarCov2.lvmfit2 | Residual Variance-Covariance Matrix With Small Sample Correction. |
| glht.lvmfit2 | General Linear Hypothesis Testing With Small Sample Correction |
| glht2 | General Linear Hypothesis Testing With Small Sample Correction |
| glht2.lvmfit | General Linear Hypothesis Testing With Small Sample Correction |
| glht2.lvmfit2 | General Linear Hypothesis Testing With Small Sample Correction |
| glht2.mmm | General Linear Hypothesis Testing With Small Sample Correction |
-- H --
| hessian2 | Hessian With Small Sample Correction. |
| hessian2.lvmfit | Hessian With Small Sample Correction. |
| hessian2.lvmfit2 | Hessian With Small Sample Correction. |
-- I --
| iid.lvmfit2 | Influence Function With Small Sample Correction. |
| iid2 | Influence Function With Small Sample Correction. |
| iid2.lvmfit | Influence Function With Small Sample Correction. |
| iid2.lvmfit2 | Influence Function With Small Sample Correction. |
| iid2plot | Display the i.i.d. Decomposition |
| iidJack | Jackknife iid Decomposition from Model Object |
| iidJack.default | Jackknife iid Decomposition from Model Object |
| information.lvmfit2 | Expected Information With Small Sample Correction. |
| information2 | Expected Information With Small Sample Correction. |
| information2.lvmfit | Expected Information With Small Sample Correction. |
| information2.lvmfit2 | Expected Information With Small Sample Correction. |
| initVarLink | Normalize var1 and var2 |
| initVarLinks | Normalize var1 and var2 |
| intDensTri | Integrate a Gaussian/Student Density over a Triangle |
-- L --
| lavaSearch2 | Tools for Model Specification in the Latent Variable Framework |
| lavaSearch2, | Tools for Model Specification in the Latent Variable Framework |
| leverage2 | Leverage With Small Sample Correction. |
| leverage2.lvmfit | Leverage With Small Sample Correction. |
| leverage2.lvmfit2 | Leverage With Small Sample Correction. |
-- M --
| matrixPower | Power of a Matrix |
| model.tables2 | Confidence Intervals With Small Sample Correction |
| modelsearch2 | Data-driven Extension of a Latent Variable Model |
| modelsearch2.lvmfit | Data-driven Extension of a Latent Variable Model |
-- N --
| nobs2 | Effective Sample Size. |
| nobs2.lvmfit | Effective Sample Size. |
| nobs2.lvmfit2 | Effective Sample Size. |
| nStep | Find the Number of Steps Performed During the Sequential Testing |
| nStep.modelsearch2 | Find the Number of Steps Performed During the Sequential Testing |
-- R --
| residuals2 | Residuals With Small Sample Correction. |
| residuals2.lvmfit | Residuals With Small Sample Correction. |
-- S --
| sampleRepeated | Simulate Repeated Measurements over time |
| score.lvmfit2 | Score With Small Sample Correction |
| score2 | Score With Small Sample Correction |
| score2.lvmfit | Score With Small Sample Correction |
| score2.lvmfit2 | Score With Small Sample Correction |
| sCorrect | Depreciated Method For Small Sample Correction |
| sCorrect.default | Depreciated Method For Small Sample Correction |
| sCorrect<- | Depreciated Method For Small Sample Correction |
| sCorrect<-.default | Depreciated Method For Small Sample Correction |
| setLink | Set a Link to a Value |
| setLink.lvm | Set a Link to a Value |
| summary.calibrateType1 | Display the Type 1 Error Rate |
| summary.glht2 | Outcome of Linear Hypothesis Testing |
| summary.lvmfit2 | Latent Variable Model Summary After Small Sample Correction |
| summary.modelsearch2 | summary Method for modelsearch2 Objects |
| summary2 | Latent Variable Model Summary After Small Sample Correction |
| summary2.lvmfit | Latent Variable Model Summary After Small Sample Correction |
| summary2.lvmfit2 | Latent Variable Model Summary After Small Sample Correction |
-- T --
| transformSummaryTable | Apply Transformation to Summary Table |
| tryWithWarnings | Run an Expression and Catch Warnings and Errors |
-- V --
| vcov.lvmfit2 | Variance-Covariance With Small Sample Correction |
| vcov2 | Variance-Covariance With Small Sample Correction |
| vcov2.lvmfit | Variance-Covariance With Small Sample Correction |
| vcov2.lvmfit2 | Variance-Covariance With Small Sample Correction |