A C D E F G I L M N R S T V misc
| lavaSearch2-package | Tools for Model Specification in the Latent Variable Framework |
| 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. |
| 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 |
| 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 |
| compare2 | Test Linear Hypotheses with small sample correction |
| compare2.gls | Test Linear Hypotheses with small sample correction |
| compare2.gls2 | Test Linear Hypotheses with small sample correction |
| compare2.lm | Test Linear Hypotheses with small sample correction |
| compare2.lm2 | Test Linear Hypotheses with small sample correction |
| compare2.lme | Test Linear Hypotheses with small sample correction |
| compare2.lme2 | 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 |
| convFormulaCharacter | formula character conversion |
| createContrast | Create Contrast matrix |
| createContrast.character | Create Contrast matrix |
| createContrast.gls | Create Contrast matrix |
| createContrast.list | Create Contrast matrix |
| createContrast.lm | Create Contrast matrix |
| createContrast.lme | Create Contrast matrix |
| createContrast.lvmfit | Create Contrast matrix |
| createContrast.mmm | Create Contrast matrix |
| dfSigma | Degree of Freedom for the Chi-Square Test |
| dfSigmaRobust | Degree of Freedom for the Robust Chi-Square Test |
| effects2 | Effects from a fitted model |
| effects2.lvmfit | Effects from a fitted model |
| effects2.lvmfit2 | Effects from a fitted model |
| estfun | Extract Empirical Estimating Functions (lvmfit Object) |
| estfun.gls | Extract Empirical Estimating Functions (lvmfit Object) |
| estfun.lme | Extract Empirical Estimating Functions (lvmfit Object) |
| estfun.lvmfit | Extract Empirical Estimating Functions (lvmfit Object) |
| extractData | Extract Data From a Model |
| extractData.coxph | Extract Data From a Model |
| extractData.cph | Extract Data From a Model |
| extractData.gls | Extract Data From a Model |
| extractData.lm | Extract Data From a Model |
| extractData.lme | Extract Data From a Model |
| extractData.lvmfit | Extract Data From a Model |
| findNewLink | Find all New Links Between Variables |
| findNewLink.lvm | Find all New Links Between Variables |
| formula2character | formula character conversion |
| 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 | Reconstruct the Conditional Variance Covariance Matrix |
| getVarCov2.gls | Reconstruct the Conditional Variance Covariance Matrix |
| getVarCov2.lme | Reconstruct the Conditional Variance Covariance Matrix |
| getVarCov2.lvmfit | Reconstruct the Conditional Variance Covariance Matrix |
| glht2 | General Linear Hypothesis |
| glht2.lvmfit | General Linear Hypothesis |
| glht2.mmm | General Linear Hypothesis |
| iid2 | Extract corrected i.i.d. decomposition |
| iid2.gls | Extract corrected i.i.d. decomposition |
| iid2.gls2 | Extract corrected i.i.d. decomposition |
| iid2.lm | Extract corrected i.i.d. decomposition |
| iid2.lm2 | Extract corrected i.i.d. decomposition |
| iid2.lme | Extract corrected i.i.d. decomposition |
| iid2.lme2 | Extract corrected i.i.d. decomposition |
| iid2.lvmfit | Extract corrected i.i.d. decomposition |
| iid2.lvmfit2 | Extract corrected i.i.d. decomposition |
| iidJack | Jackknife iid Decomposition from Model Object |
| iidJack.default | Jackknife iid Decomposition from Model Object |
| information2 | Extract The full Information Matrix |
| information2.gls | Extract The full Information Matrix |
| information2.gls2 | Extract The full Information Matrix |
| information2.lm | Extract The full Information Matrix |
| information2.lm2 | Extract The full Information Matrix |
| information2.lme | Extract The full Information Matrix |
| information2.lme2 | Extract The full Information Matrix |
| information2.lvmfit | Extract The full Information Matrix |
| information2.lvmfit2 | Extract The full Information Matrix |
| initVarLink | Normalize var1 and var2 |
| initVarLinks | Normalize var1 and var2 |
| intDensTri | Integrate a Gaussian/Student Density over a Triangle |
| lavaSearch2 | Tools for Model Specification in the Latent Variable Framework |
| lavaSearch2, | Tools for Model Specification in the Latent Variable Framework |
| leverage2 | Extract Leverage Values |
| leverage2.gls | Extract Leverage Values |
| leverage2.gls2 | Extract Leverage Values |
| leverage2.lm | Extract Leverage Values |
| leverage2.lm2 | Extract Leverage Values |
| leverage2.lme | Extract Leverage Values |
| leverage2.lme2 | Extract Leverage Values |
| leverage2.lvmfit | Extract Leverage Values |
| leverage2.lvmfit2 | Extract Leverage Values |
| matrixPower | Power of a Matrix |
| modelsearch2 | Data-driven Extension of a Latent Variable Model |
| modelsearch2.lvmfit | Data-driven Extension of a Latent Variable Model |
| nStep | Find the Number of Steps Performed During the Sequential Testing |
| nStep.modelsearch2 | Find the Number of Steps Performed During the Sequential Testing |
| residuals2 | Extract Corrected Residuals |
| residuals2.gls2 | Extract Corrected Residuals |
| residuals2.lm2 | Extract Corrected Residuals |
| residuals2.lme2 | Extract Corrected Residuals |
| residuals2.lvmfit2 | Extract Corrected Residuals |
| score2 | Extract the Individual Score |
| score2.gls | Extract the Individual Score |
| score2.gls2 | Extract the Individual Score |
| score2.lm | Extract the Individual Score |
| score2.lm2 | Extract the Individual Score |
| score2.lme | Extract the Individual Score |
| score2.lme2 | Extract the Individual Score |
| score2.lvmfit | Extract the Individual Score |
| score2.lvmfit2 | Extract the Individual Score |
| sCorrect | Satterthwaite Correction and Small Sample Correction |
| sCorrect.gls | Satterthwaite Correction and Small Sample Correction |
| sCorrect.gls2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect.lm | Satterthwaite Correction and Small Sample Correction |
| sCorrect.lm2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect.lme | Satterthwaite Correction and Small Sample Correction |
| sCorrect.lme2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect.lvmfit | Satterthwaite Correction and Small Sample Correction |
| sCorrect.lvmfit2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect<- | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.gls | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.gls2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.lm | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.lm2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.lme | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.lme2 | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.lvmfit | Satterthwaite Correction and Small Sample Correction |
| sCorrect<-.lvmfit2 | Satterthwaite Correction and 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.modelsearch2 | summary Method for modelsearch2 Objects |
| summary2 | Summary with Small Sample Correction |
| summary2.gls | Summary with Small Sample Correction |
| summary2.gls2 | Summary with Small Sample Correction |
| summary2.lm | Summary with Small Sample Correction |
| summary2.lm2 | Summary with Small Sample Correction |
| summary2.lme | Summary with Small Sample Correction |
| summary2.lme2 | Summary with Small Sample Correction |
| summary2.lvmfit | Summary with Small Sample Correction |
| summary2.lvmfit2 | Summary with Small Sample Correction |
| tryWithWarnings | Run an Expression and Catch Warnings and Errors |
| vcov2 | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.gls | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.gls2 | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.lm | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.lm2 | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.lme | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.lme2 | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.lvmfit | Extract the Variance Covariance Matrix of the Model Parameters |
| vcov2.lvmfit2 | Extract the Variance Covariance Matrix of the Model Parameters |
| .compare2 | Test Linear Hypotheses with small sample correction |