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lavaSearch2  

Tools for Model Specification in the Latent Variable Framework
View on CRAN: Click here


Download and install lavaSearch2 package within the R console
Install from CRAN:
install.packages("lavaSearch2")

Install from Github:
library("remotes")
install_github("cran/lavaSearch2")

Install by package version:
library("remotes")
install_version("lavaSearch2", "2.0.3")



Attach the package and use:
library("lavaSearch2")
Maintained by
Brice Ozenne
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-24
Latest Update: 2023-04-11
Description:
Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
How to cite:
Brice Ozenne (2018). lavaSearch2: Tools for Model Specification in the Latent Variable Framework. R package version 2.0.3, https://cran.r-project.org/web/packages/lavaSearch2. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2018-01-24 10:22), 1.1.0 (2018-02-06 17:36), 1.2.0 (2018-03-16 13:07), 1.3.3 (2018-04-17 18:39), 1.3.5 (2018-07-17 11:00), 1.4.1 (2018-11-20 15:50), 1.4 (2018-10-05 11:20), 1.5.3 (2019-03-18 17:40), 1.5.4 (2019-05-19 15:30), 1.5.5 (2020-03-18 15:00), 1.5.6 (2020-07-31 11:40), 2.0.1 (2023-04-11 23:40), 2.0.2 (2024-01-23 16:10)
Other packages that cited lavaSearch2 R package
View lavaSearch2 citation profile
Other R packages that lavaSearch2 depends, imports, suggests or enhances
Complete documentation for lavaSearch2
Functions, R codes and Examples using the lavaSearch2 R package
Some associated functions: addLink . autoplot.intDensTri . autoplot.modelsearch2 . autoplot_calibrateType1 . calcDistMax . calcType1postSelection . calibrateType1 . checkData . clean . coef2 . coefByType . coefType . combination . combineFormula . compare2 . confint2 . contrast2name . convFormulaCharacter . createContrast . createGrid . defineCategoricalLink . dfSigma . dot-dinformation2-internal . effects2 . estimate2 . evalInParentEnv . extractData . findNewLink . gaussian_weight . getIndexOmega . getNewLink . getNewModel . getStep . getVarCov2 . glht2 . hessian2-internal . hessian2 . iid2 . iid2plot . iidJack . information2-internal . information2 . initVarLink . intDensTri . lavaSearch2 . leverage2 . matrixPower . modelsearch2 . moments2 . nStep . nobs2 . residuals2 . sCorrect . sampleRepeated . score2-internal . score2 . selectRegressor . selectResponse . setLink . skeleton . summary.calibrateType1 . summary.glht2 . summary.modelsearch2 . summary2 . symmetrize . transformSummaryTable . tryWithWarnings . var2dummy . vcov2-internal . vcov2 . 
Some associated R codes: 0onload.R . IntDensTri.R . Objective_gaussian_weight.R . RcppExports.R . Scorrect-confint2.R . Scorrect-model.tables.R . Utils.R . autoplot.calibrateType1.R . calcType1postSelection.R . calibrateType1.R . checkData.R . clean.R . coefByType.R . coefType.R . createContrast.R . createGrid.R . defineCategoricalLink.R . evalInParentEnv.R . formula.R . iidJack.R . initVarlink.R . lavaSearch2-package.R . link.R . matrixPower.R . modelsearch2-calcDistMax.R . modelsearch2-methods.R . modelsearch2-print.R . modelsearch2-summary.R . modelsearch2.R . nobs.R . p.adjust2.R . sCorrect-coef2.R . sCorrect-compare2.R . sCorrect-dInformation2.R . sCorrect-effects2.R . sCorrect-estimate2.R . sCorrect-extractData.R . sCorrect-getGroups2.R . sCorrect-getIndexOmega.R . sCorrect-getVarCov2.R . sCorrect-glht2.R . sCorrect-hessian2.R . sCorrect-iid2.R . sCorrect-information2.R . sCorrect-leverage2.R . sCorrect-moments2.R . sCorrect-nobs2.R . sCorrect-residuals2.R . sCorrect-score2.R . sCorrect-skeleton.R . sCorrect-sscCoxSnell.R . sCorrect-sscResiduals.R . sCorrect-summary.glht2.R . sCorrect-summary2.R . sCorrect-updateMoment.R . sCorrect-vcov2.R . sCorrect.R . sampleRepeated.R . summary.calibrateType1.R . symmetrize.R . transformSummaryTable.R . tryWithWarnings.R . var2dummy.R .  Full lavaSearch2 package functions and examples
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