Package: lava 1.9.2

lava: Latent Variable Models
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Authors:
lava_1.9.2.tar.gz
lava_1.9.2.zip(r-4.7)lava_1.9.2.zip(r-4.6)lava_1.9.2.zip(r-4.5)
lava_1.9.2.tgz(r-4.6-any)lava_1.9.2.tgz(r-4.5-any)
lava_1.9.2.tar.gz(r-4.7-any)lava_1.9.2.tar.gz(r-4.6-any)
lava_1.9.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lava/json (API)
NEWS
| # Install 'lava' in R: |
| install.packages('lava', repos = c('https://kkholst.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kkholst/lava/issues
Pkgdown/docs site:https://kkholst.github.io
- bmd - Longitudinal Bone Mineral Density Data
- bmidata - Data
- brisa - Simulated data
- calcium - Longitudinal Bone Mineral Density Data
- deprdiag - 50 patients from Monash Medical Centre, Melbourne
- hubble - Hubble data
- hubble2 - Hubble data
- indoorenv - Data
- missingdata - Missing data example
- nldata - Example data
- nsem - Example SEM data
- semdata - Example SEM data
- serotonin - Serotonin data
- twindata - Twin menarche data
latent-variable-modelssimulationstatisticsstructural-equation-models
Last updated from:8a9e16bd35. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 263 | ||
| source / vignettes | OK | 264 | ||
| linux-release-x86_64 | OK | 234 | ||
| macos-release-arm64 | OK | 150 | ||
| macos-oldrel-arm64 | OK | 164 | ||
| windows-devel | OK | 236 | ||
| windows-release | OK | 226 | ||
| windows-oldrel | OK | 211 | ||
| wasm-release | OK | 149 |
Exports:%++%%in.closed%%in.open%%ni%aalenExponential.lvmaddhookaddvaraddvar<-adjMatalpha_zmaxancestorsas.simbackdoorbaptizebeta.lvmbinary.lvmBinary.lvmbinomial.lvmbinomial.rdbinomial.rrblockdiagbootstrapBycancelcancel<-categoricalcategorical<-childrenchisq.lvmclickclosed_testingCoefMatCoefMat.multigroupfitColcolorbarcolselCombinecommutationcomparecomplikconfbandconfpredconstant.lvmconstrainconstrain<-constraintscontrcorrelationcovariancecovariance<-coxExponential.lvmcoxGompertz.lvmcoxWeibull.lvmcsplitcurlydecomp.specialsdensity.simdescendantsdescribecoefdevcoordsdiagtestDiffdistributiondistribution<-dmvn0dsepedgelabelsedgelabels<-edgeListendogenousequivalenceestimateestimate.defaulteventTimeeventTime<-exogenousexogenous<-Expandexpitfinalizefixsomefoldrforestplotfplotfunctionalfunctional<-Gamma.lvmgaussian_logLik.lvmgaussian.lvmgethookgetoutcomegetSASgkgammaGM2.lvmGM3.lvmgofGraphGraph<-graph2lvmGrepheavytailheavytail<-ICid.lvmidplotigraph.lvmiidimagesindexindex<-informationinterceptintercept<-interventionintervention<-InverseIVkillkill<-ksmooth2labels<-latentlatent<-lavalava.optionsloggamma.lvmlogitlogit.lvmlognormal.lvmlvmmakemissingmanifestmat.lvmmeasurementmeasurement.errorMissingMissing<-mixtureModelModel<-modelParmodelsearchmodelVarmomentsmultigroupmultinomialmultinomial.lvmmvn.lvmmvnmixna.pass0NA2xnodecolor<-none.lvmnonlinearnonlinear<-normal.lvmNRoddsoffdiagoffdiag<-offdiagsones.lvmORordinalordinal<-ordregpairwise.diffparameterparameter<-parentspareto.lvmparlabelsparposparsparsedesignpartialcorpathpcorPDpdfconvertplot_regionplot.simplotConfpoisson.lvmpredict_glmpredictlvmPrintprobit.lvmprocformularandomsloperandomslope<-Range.lvmRatioregfixregressionregression<-revdiagrevdiag<-riskcomprmvarrmvar<-rmvn0rootsrot2Drot3Drotate2rsqscheffescoreSequence.lvmsimsinksspaghettiSpecialsstarter.multigroupstartvaluesstartvalues0startvalues1startvalues2student.lvmsummary.simsurfacetest_waldthreshold.lvmtigoltimedeptimedep<-toformulatotaleffectstrtransform<-trimtwostagetwostageCVuniform.lvmvar_icvariancevariance<-variancesvarsvecwaitweibull.lvmWeightswkmwrapvecx2NAzibreg
Dependencies:clicodetoolsdigestfuturefuture.applyglobalslatticelistenvMatrixnumDerivparallellyprogressrSQUAREMsurvival
Estimating partial correlations with lava
Rendered fromcorrelation.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2026-04-03
Started: 2020-05-23
Non-linear latent variable models and error-in-variable models
Rendered fromnonlinear.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2026-04-02
Started: 2020-05-23
The Art of Influence
Rendered frominfluencefunction.Rmdusingknitr::rmarkdownon May 22 2026.Last update: 2026-05-11
Started: 2023-11-15
