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lava (version 1.5)
Latent Variable Models
Description
Estimation and simulation of latent variable models.
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Install
install.packages('lava')
Monthly Downloads
117,538
Version
1.5
License
GPL-3
Issues
0
Pull Requests
1
Stars
33
Forks
2
Repository
https://github.com/kkholst/lava
Maintainer
Klaus Holst
Last Published
March 16th, 2017
Functions in lava (1.5)
Search all functions
timedep
Time-dependent parameters
Graph
Extract graph
bmidata
Data
getMplus
Read Mplus output
By
Apply a Function to a Data Frame Split by Factors
Col
Generate a transparent RGB color
blockdiag
Combine matrices to block diagonal structure
bmd
Longitudinal Bone Mineral Density Data (Wide format)
commutation
Finds the unique commutation matrix
compare
Statistical tests
dsep.lvm
Check d-separation criterion
confint.lvmfit
Calculate confidence limits for parameters
constrain<-
Add non-linear constraints to latent variable model
devcoords
Returns device-coordinates and plot-region
diagtest
Calculate diagnostic tests for 2x2 table
bootstrap
Generic bootstrap method
lvm
Initialize new latent variable model
modelsearch
Model searching
subset.lvm
Extract subset of latent variable model
missingdata
Missing data example
serotonin2
Data
getSAS
Read SAS output
labels<-
Define labels of graph
lava-package
Estimation and simulation of latent variable models
multinomial
Estimate probabilities in contingency table
partialcor
Calculate partial correlations
nldata
Example data (nonlinear model)
path
Extract pathways in model graph
serotonin
Serotonin data
toformula
Converts strings to formula
Missing
Missing value generator
tr
Trace operator
revdiag
Create/extract 'reverse'-diagonal matrix or off-diagonal elements
vec
vec operator
vars
Extract variable names from latent variable model
PD
Dose response calculation for binomial regression models
backdoor
Backdoor criterion
baptize
Label elements of object
complik
Composite Likelihood for probit latent variable models
confband
Add Confidence limits bar to plot
Model
Extract model
covariance
Add covariance structure to Latent Variable Model
eventTime
Add an observed event time outcome to a latent variable model.
fplot
fplot
density.sim
Plot sim object
intercept
Fix mean parameters in 'lvm'-object
startvalues
For internal use
%ni%
Matching operator (x not in y) oposed to the
ordreg
Univariate cumulative link regression models
plot.lvm
Plot path diagram
plotConf
Plot regression lines
scheffe
Calculate simultaneous confidence limits by Scheffe's method
semdata
Example SEM data
twostage
Two-stage estimator
twostage.lvmfit
Two-stage estimator (non-linear SEM)
children
Extract children or parent elements of object
click
Identify points on plot
gof
Extract model summaries and GOF statistics for model object
addvar
Add variable to (model) object
Range.lvm
Define range constraints of parameters
calcium
Longitudinal Bone Mineral Density Data
cancel
Generic cancel method
colorbar
Add color-bar to plot
contr
Create contrast matrix
correlation
Generic method for extracting correlation coefficients of model object
closed.testing
Closed testing procedure
makemissing
Create random missing data
images
Organize several image calls (for visualizing categorical data)
indoorenv
Data
hubble
Hubble data
nsem
Example SEM data (nonlinear)
%++%
Concatenation operator
predict.lvm
Prediction in structural equation models
predictlvm
Predict function for latent variable models
sim
Simulate model
wrapvec
Wrap vector
sim.default
Wrapper function for mclapply
zibreg
Regression model for binomial data with unkown group of immortals
measurement.error
Two-stage (non-linear) measurement error
regression<-
Add regression association to latent variable model
Combine
Report estimates across different models
Expand
Create a Data Frame from All Combinations of Factors
bootstrap.lvm
Calculate bootstrap estimates of a lvm object
estimate.default
Estimation of functional of parameters
brisa
Simulated data
estimate.lvm
Estimation of parameters in a Latent Variable Model (lvm)
kill
Remove variables from (model) object.
ksmooth2
Plot/estimate surface
org
Convert object to ascii suitable for org-mode
parpos
Generic method for finding indeces of model parameters
trim
Trim tring of (leading/trailing/all) white spaces
twindata
Twin menarche data
pcor
Polychoric correlation
spaghetti
Spaghetti plot
pdfconvert
Convert pdf to raster format
stack.estimate
Stack estimating equations
hubble2
Hubble data
iid
Extract i.i.d. decomposition (influence function) from model object
lava.options
Set global options for
equivalence
Identify candidates of equivalent models