OBSOLETE, still on CRAN for historical purposes. Please
use the more modern directlabels package instead.

A Lattice-based tool for exploratory visualisation
lattice (>= 0.16-3), latticeExtra (>= 0.5-4), vcd
playwith, gWidgetstcltk, hexbin, deldir, tripack, DAAG, RGtk2
Latticist is a graphical user interface for exploratory
visualisation. It is primarily an interface to the Lattice graphics
system, but also produces displays from the vcd package for categorical
data. Given a multivariate dataset (either a data frame or a table),
Latticist attempts to produce useful displays based on the properties
of the data.

Latticist is a graphical user interface for exploratory
visualisation. It is primarily an interface to the Lattice graphics
system, but also produces displays from the vcd package for categorical
data. Given a multivariate dataset (either a data frame or a table),
latticist attempts to produce useful displays based on the properties
of the data.

A graphical user interface for exploratory visualisation
Latticist provides a graphical user interface for exploratory
visualisation. It is primarily an interface to the Lattice graphics
system, but also produces displays from the vcd package for categorical
data. Given a multivariate dataset (either a data frame or a table),
latticist attempts to produce useful displays based on the properties
of the data. The displays can be customised by editing the calls used to
generate them.

Latticist provides a graphical user interface for
exploratory visualisation. It is primarily an interface to the
Lattice graphics system, but also produces displays from the
vcd package for categorical data. Given a multivariate dataset
(either a data frame or a table), latticist attempts to produce
useful displays based on the properties of the data. The
displays can be customised by editing the calls used to
generate them.

playwith, hexbin, deldir, tripack, DAAG, RGtk2,
gWidgetsRGtk2, gWidgetstcltk, MASS

Estimation and simulation of latent variable models
latent variable model, structural equation model, likelihood
inference
Rgraphviz, igraph, Matrix, gof (>= 0.8), foreach, survival
'addattr.R' 'addvar.R' 'baptize.R' 'bootstrap.R' 'cancel.R'
'children.R' 'cluster.hook.R' 'coef.R' 'compare.R' 'confint.R'
'constrain.R' 'copy.R' 'correlation.R' 'covariance.R' 'deriv.R'
'distribution.R' 'effects.R' 'endogenous.R'
'estimate.multigroup.R' 'estimate.R' 'exogenous.R' 'finalize.R'
'fix.R' 'formula.R' 'functional.R' 'glmest.R' 'gof.R'
'graph2lvm.R' 'graph.R' 'heavytail.R' 'hooks.R' 'index.sem.R'
'information.R' 'iv.R' 'kill.R' 'labels.R' 'latent.R'
'lava-package.R' 'lisrel.R' 'logLik.R' 'logo.R' 'lvm.R'
'makemissing.R' 'manifest.R' 'matrices.R' 'measurement.R'
'merge.R' 'missingMLE.R' 'model.frame.R' 'modelPar.R' 'model.R'
'modelsearch.R' 'modelVar.R' 'moments.R' 'multigroup.R'
'nested.R' 'nodecolor.R' 'Objective.R' 'onload.R' 'optims.R'
'parameter.R' 'parpos.R' 'pars.R' 'partialcor.R' 'path.R'
'plot.R' 'predict.R' 'print.R' 'profile.R' 'randomslope.R'
'regression.R' 'reorder.R' 'residuals.R' 'score.R' 'sim.R'
'startvalues.R' 'subgraph.R' 'subset.R' 'summary.R'
'survival.R' 'utils.R' 'variances.R' 'vars.R' 'vcov.R'
'weight.R' 'equivalence.R'