lava

Apply a Function to a Data Frame Split by Factors

Generate a transparent RGB color

Report estimates across different models

Create a Data Frame from All Combinations of Factors

Extract graph

Finds elements in vector or column-names in data.frame/matrix

Missing value generator

Extract model

Convert to/from NA

Newton-Raphson method

Dose response calculation for binomial regression models

Define range constraints of parameters

Add variable to (model) object

Backdoor criterion

Label elements of object

Define constant risk difference or relative risk association for binary exposure

Combine matrices to block diagonal structure

Longitudinal Bone Mineral Density Data (Wide format)

Data

Generic bootstrap method

Calculate bootstrap estimates of a lvm object

Simulated data

Longitudinal Bone Mineral Density Data

Generic cancel method

Extract children or parent elements of object

Identify points on plot

Closed testing procedure

Add color-bar to plot

Finds the unique commutation matrix

Statistical tests

Composite Likelihood for probit latent variable models

Add Confidence limits bar to plot

Calculate confidence limits for parameters

Conformal prediction

Add non-linear constraints to latent variable model

Create contrast matrix

Generic method for extracting correlation coefficients of model object

Add covariance structure to Latent Variable Model

Split data into folds

Adds curly brackets to plot

Cross-validation

Returns device-coordinates and plot-region

Calculate diagnostic tests for 2x2 table

Check d-separation criterion

Identify candidates of equivalent models

Estimation of functional of parameters

Estimation of parameters in a Latent Variable Model (lvm)

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

fplot

Read Mplus output

Read SAS output

Extract model summaries and GOF statistics for model object

Hubble data

Hubble data

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

Organize several image calls (for visualizing categorical data)

Data

Fix mean parameters in 'lvm'-object

For internal use

Define intervention

Plot/estimate surface

Define labels of graph

Estimation and simulation of latent variable models

Set global options for lava

Initialize new latent variable model

Create random missing data

Two-stage (non-linear) measurement error

Missing data example

Estimate mixture latent variable model.

Model searching

Estimate probabilities in contingency table

Estimate mixture latent variable model

Example data (nonlinear model)

Example SEM data (nonlinear)

Concatenation operator

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

Define variables as ordinal

Univariate cumulative link regression models

Generic method for finding indeces of model parameters

Calculate partial correlations

Extract pathways in model graph

Polychoric correlation

Convert pdf to raster format

Plot method for 'estimate' objects

Plot path diagram

Plot method for simulation 'sim' objects

Plot regression lines

Prediction in structural equation models

Predict function for latent variable models

Appending Surv objects

Add regression association to latent variable model

Create/extract 'reverse'-diagonal matrix or off-diagonal elements

Remove variables from (model) object.

Performs a rotation in the plane

Calculate simultaneous confidence limits by Scheffe's method

Example SEM data

Serotonin data

Data

Simulate model

Wrapper function for mclapply

Spaghetti plot

Stack estimating equations

Extract subset of latent variable model

Summary method for 'sim' objects

Time-dependent parameters

Converts strings to formula

Trace operator

Trim string of (leading/trailing/all) white spaces

Twin menarche data

Two-stage estimator

Two-stage estimator (non-linear SEM)

Cross-validated two-stage estimator

Extract variable names from latent variable model

vec operator

Wait for user input (keyboard or mouse)

Weighted K-means

Wrap vector

Regression model for binomial data with unkown group of immortals