R: Tools for Model Specification in the Latent Variable Framework

# Tools for Model Specification in the Latent Variable Framework

## Documentation for package ‘lavaSearch2’ version 2.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

A C D E F G H I L M N R S T V

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