Function reference • lava

All functions
`By()`	Apply a Function to a Data Frame Split by Factors
`Col()`	Generate a transparent RGB color
`Combine()`	Report estimates across different models
`Expand()`	Create a Data Frame from All Combinations of Factors
`Graph()` `Graph<-`()	Extract graph
`Grep()`	Finds elements in vector or column-names in data.frame/matrix
`IC()`	Extract i.i.d. decomposition (influence function) from model object
`Missing()`	Missing value generator
`Model()` `Model<-`()	Extract model
`NA2x()`	Convert to/from NA
`NR()`	Newton-Raphson method
`PD()`	Dose response calculation for binomial regression models
`Print()`	Generic print method
`Range.lvm()`	Define range constraints of parameters
`addvar()`	Add variable to (model) object
`backdoor()`	Backdoor criterion
`baptize()`	Label elements of object
`binomial.rd()`	Define constant risk difference or relative risk association for binary exposure
`blockdiag()`	Combine matrices to block diagonal structure
`bmd`	Longitudinal Bone Mineral Density Data (Wide format)
`bmidata`	Data
`bootstrap()`	Generic bootstrap method
`bootstrap(<lvm>)` `bootstrap(<lvmfit>)`	Calculate bootstrap estimates of a lvm object
`brisa`	Simulated data
`calcium`	Longitudinal Bone Mineral Density Data
`cancel()`	Generic cancel method
`children()`	Extract children or parent elements of object
`click(<default>)` `idplot()`	Identify points on plot
`closed.testing()`	Closed testing procedure
`colorbar()`	Add color-bar to plot
`commutation()`	Finds the unique commutation matrix
`compare()`	Statistical tests
`complik()`	Composite Likelihood for probit latent variable models
`confband()`	Add Confidence limits bar to plot
`confint(<lvmfit>)`	Calculate confidence limits for parameters
`confpred()`	Conformal prediction
`constrain<-`(<default>) `constrain<-`(<multigroup>) `constraints()`	Add non-linear constraints to latent variable model
`contr()`	Create contrast matrix
`correlation()`	Generic method for extracting correlation coefficients of model object
`covariance<-`(<lvm>)	Add covariance structure to Latent Variable Model
`csplit()`	Split data into folds
`curly()`	Adds curly brackets to plot
`devcoords()`	Returns device-coordinates and plot-region
`diagtest()`	Calculate diagnostic tests for 2x2 table
`dsep(<lvm>)`	Check d-separation criterion
`equivalence()`	Identify candidates of equivalent models
`estimate(<array>)`	Estimate parameters and influence function.
`estimate(<default>)`	Estimation of functional of parameters
`estimate(<lvm>)`	Estimation of parameters in a Latent Variable Model (lvm)
`eventTime()`	Add an observed event time outcome to a latent variable model.
`fplot()`	fplot
`getMplus()`	Read Mplus output
`getSAS()`	Read SAS output
`gof()` `moments()` `logLik(<lvmfit>)` `score(<lvmfit>)` `information(<lvmfit>)`	Extract model summaries and GOF statistics for model object
`hubble`	Hubble data
`hubble2`	Hubble data
`iid()`	Extract i.i.d. decomposition from model object
`images()`	Organize several image calls (for visualizing categorical data)
`indoorenv`	Data
`intercept<-`(<lvm>)	Fix mean parameters in 'lvm'-object
`startvalues` `startvalues0` `startvalues1` `startvalues2` `startvalues3` `starter.multigroup` `addattr` `modelPar` `modelVar` `matrices` `pars` `pars.lvm` `pars.lvmfit` `pars.glm` `score.glm` `procdata.lvmfit` `reorderdata` `graph2lvm` `igraph.lvm` `subgraph` `finalize` `index.lvm` `index.lvmfit` `index` `reindex` `index` `rmvn0` `dmvn0` `logit` `expit` `tigol` `randomslope` `randomslope` `lisrel` `variances` `offdiags` `describecoef` `parlabels` `rsq` `stdcoef` `CoefMat` `CoefMat.multigroupfit` `deriv` `updatelvm` `checkmultigroup` `profci` `estimate.MAR` `missingModel` `Inverse` `Identical` `gaussian_logLik.lvm` `addhook` `gethook` `multigroup` `Weights` `fixsome` `parfix` `parfix` `merge` `IV` `parameter` `Specials` `procformula` `getoutcome` `decomp.specials` `na.pass0`	For internal use
`intervention(<lvm>)`	Define intervention
`ksmooth2()`	Plot/estimate surface
`labels<-`(<default>) `edgelabels<-`(<lvm>) `nodecolor<-`(<default>)	Define labels of graph
`lava-package` `lava`	Estimation and simulation of latent variable models
`lava.options()`	Set global options for `lava`
`lvm()`	Initialize new latent variable model
`makemissing()`	Create random missing data
`measurement.error()`	Two-stage (non-linear) measurement error
`missingdata`	Missing data example
`mixture()`	Estimate mixture latent variable model.
`modelsearch()`	Model searching
`multinomial()`	Estimate probabilities in contingency table
`mvnmix()`	Estimate mixture latent variable model
`nldata`	Example data (nonlinear model)
`nsem`	Example SEM data (nonlinear)
`%++%`	Concatenation operator
`%ni%`	Matching operator (x not in y) oposed to the `%in%`-operator (x in y)
`ordinal<-`()	Define variables as ordinal
`ordreg()`	Univariate cumulative link regression models
`parpos()`	Generic method for finding indeces of model parameters
`partialcor()`	Calculate partial correlations
`path(<lvm>)` `effects(<lvmfit>)`	Extract pathways in model graph
`pcor()`	Polychoric correlation
`pdfconvert()`	Convert pdf to raster format
`plot(<estimate>)`	Plot method for 'estimate' objects
`plot(<lvm>)`	Plot path diagram
`plot(<sim>)`	Plot method for simulation 'sim' objects
`plotConf()`	Plot regression lines
`predict(<lvm>)`	Prediction in structural equation models
`predictlvm()`	Predict function for latent variable models
`rbind(<Surv>)`	Appending `Surv` objects
`regression(<lvm>)` `regression<-`(<lvm>)	Add regression association to latent variable model
`revdiag()` `offdiag()` `revdiag<-`() `offdiag<-`()	Create/extract 'reverse'-diagonal matrix or off-diagonal elements
`rmvar<-`()	Remove variables from (model) object.
`rotate2()`	Performs a rotation in the plane
`scheffe()`	Calculate simultaneous confidence limits by Scheffe's method
`semdata`	Example SEM data
`serotonin`	Serotonin data
`serotonin2`	Data
`sim(<lvm>)`	Simulate model
`sim(<default>)`	Monte Carlo simulation
`spaghetti()`	Spaghetti plot
`stack(<estimate>)`	Stack estimating equations
`subset(<lvm>)`	Extract subset of latent variable model
`summary(<sim>)`	Summary method for 'sim' objects
`timedep()`	Time-dependent parameters
`toformula()`	Converts strings to formula
`tr()`	Trace operator
`trim()`	Trim string of (leading/trailing/all) white spaces
`twindata`	Twin menarche data
`twostage()`	Two-stage estimator
`twostage(<lvmfit>)`	Two-stage estimator (non-linear SEM)
`twostageCV()`	Cross-validated two-stage estimator
`vars()` `endogenous()` `exogenous()` `manifest()` `latent()` `exogenous<-`(<lvm>) `latent<-`(<lvm>)	Extract variable names from latent variable model
`vec()`	vec operator
`wait()`	Wait for user input (keyboard or mouse)
`wkm()`	Weighted K-means
`wrapvec()`	Wrap vector
`zibreg()`	Regression model for binomial data with unkown group of immortals

Reference

All functions