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 |