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lava (version 1.4.3)

Latent Variable Models

Description

Estimation and simulation of latent variable models.

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Install

install.packages('lava')

Monthly Downloads

164,778

Version

1.4.3

License

GPL-3

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Pull Requests

0

Stars

33

Forks

1

Maintainer

Klaus K Holst

Last Published

April 11th, 2016

Functions in lava (1.4.3)

missingdata

Missing data example
org

Convert object to ascii suitable for org-mode
click

Identify points on plot
labels<-

Define labels of graph
toformula

Converts strings to formula
brisa

Simulated data
Graph

Extract graph
compare

Statistical tests
Combine

Report estimates across different models
partialcor

Calculate partial correlations
colorbar

Add color-bar to plot
bootstrap

Generic bootstrap method
By

Apply a Function to a Data Frame Split by Factors
bmidata

Data
equivalence

Identify candidates of equivalent models
bmd

Longitudinal Bone Mineral Density Data (Wide format)
diagtest

Calculate diagnostic tests for 2x2 table
commutation

Finds the unique commutation matrix
addvar

Add variable to (model) object
kill

Remove variables from (model) object.
lava-package

Estimation and simulation of latent variable models
ksmooth2

Plot/estimate surface
indoorenv

Data
devcoords

Returns device-coordinates and plot-region
%ni%

Matching operator (x not in y) oposed to the %in%-operator (x in y)
modelsearch

Model searching
wrapvec

Wrap vector
fplot

fplot
path

Extract pathways in model graph
Model

Extract model
blockdiag

Combine matrices to block diagonal structure
startvalues

For internal use
Col

Generate a transparent RGB color
constrain<-

Add non-linear constraints to latent variable model
serotonin

Serotonin data
serotonin2

Data
PD

Dose response calculation for binomial regression models
gof

Extract model summaries and GOF statistics for model object
ordreg

Univariate cumulative link regression models
lava.options

Set global options for lava
Expand

Create a Data Frame from All Combinations of Factors
nldata

Example data (nonlinear model)
baptize

Label elements of object
correlation

Generic method for extracting correlation coefficients of model object
getSAS

Read SAS output
spaghetti

Spaghetti plot
%++%

Concatenation operator
sim.default

Wrapper function for mclapply
timedep

Time-dependent parameters
iid

Extract i.i.d. decomposition (influence function) from model object
closed.testing

Closed testing procedure
tr

Trace operator
revdiag

Create/extract 'reverse'-diagonal matrix or off-diagonal elements
density.sim

Plot sim object
subset.lvm

Extract subset of latent variable model
scheffe

Calculate simultaneous confidence limits by Scheffe's method
covariance

Add covariance structure to Latent Variable Model
pcor

Polychoric correlation
Missing

Missing value generator
regression<-

Add regression association to latent variable model
predict.lvm

Prediction in structural equation models
makemissing

Create random missing data
bootstrap.lvm

Calculate bootstrap estimates of a lvm object
Range.lvm

Define range constraints of parameters
getMplus

Read Mplus output
confint.lvmfit

Calculate confidence limits for parameters
eventTime

Add an observed event time outcome to a latent variable model.
twindata

Twin menarche data
calcium

Longitudinal Bone Mineral Density Data
trim

Trim tring of (leading/trailing/all) white spaces
images

Organize several image calls (for visualizing categorical data)
lvm

Initialize new latent variable model
intercept

Fix mean parameters in 'lvm'-object
semdata

Example SEM data
multinomial

Estimate probabilities in contingency table
sim

Simulate model
cancel

Generic cancel method
hubble2

Hubble data
confband

Add Confidence limits bar to plot
zibreg

Regression model for binomial data with unkown group of immortals
hubble

Hubble data
measurement.error

Two-stage (non-linear) measurement error
estimate.lvm

Estimation of parameters in a Latent Variable Model (lvm)
plotConf

Plot regression lines
pdfconvert

Convert pdf to raster format
nsem

Example SEM data (nonlinear)
plot.lvm

Plot path diagram
vars

Extract variable names from latent variable model
stack.estimate

Stack estimating equations
vec

vec operator
children

Extract children or parent elements of object
dsort

Sort data frame
estimate.default

Estimation of functional of parameters
parpos

Generic method for finding indeces of model parameters