Constantin Weiser (HHU of Duesseldorf / Germany)
Provides methods to construct multivariate grids,
which can be used for multivariate quadrature. This grids can be based on
different quadrature rules like Newton-Cotes formulas (trapezoidal-, Simpson's-
rule, ...) or Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the
construction of the multidimensional grid the product-rule or the combination-
technique can be applied.

Provides methods to construct multivariate grids, which can be used
for multivariate quadrature. This grids can be based on different quadrature
rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or Gauss
quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction of the
multidimensional grid the product-rule or the combination- technique can be
applied.

MultiVariate Stochastic Linear Ornstein-Uhlenbeck models for
phylogenetic Comparative hypotHeses
Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history.
R(>= 2.9.1), ouch, ape, numDeriv, mvtnorm, corpcor
regimes.R treeDists.R grid.R matrixexps.R
matrixparametrizations.R modelparamstransform.R precalcs.R
sdemoments.R sdemomentsphyl.R loglik.R ci.R phylgls.R
modelparamssummary.R modelparams.R estimBM.R estimGLSGC.R
estimMAXLIK.R simulVasicekproc.R simulVasicekprocphyl.R
PhyloSDEestim.R MVslouchSimulStudy.R wrappers.R fitch.mvsl.R
ouch2slouch.mvsl.R make.states.mvsl.R

Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
Phylogenetic Comparative Hypotheses

regimes.R treeDists.R grid.R matrixexps.R
matrixparametrizations.R modelparamstransform.R precalcs.R
sdemoments.R sdemomentsphyl.R loglik.R ci.R phylgls.R
modelparamssummary.R modelparams.R estimBM.R estimGLSGC.R
estimMAXLIK.R simulVasicekproc.R simulVasicekprocphyl.R
PhyloSDEestim.R MVslouchSimulStudy.R wrappers.R fitch.mvsl.R
ouch2slouch.mvsl.R make.states.mvsl.R evolmodelest.R getESS.R

Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F.Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>.
bootstrap.R evolmodelest.R matrixexps.R phylgls.R
sdecovariancephyl.R wrappers.R ci.R fitch.mvsl.R
matrixparametrizations.R PhyloSDEestim.R sdemoments.R estimBM.R
getESS.R modelparams.R phyltree_paths.R simulVasicekprocphyl.R
estimGLSGC.R loglik.R modelparamssummary.R precalcs.R
simulVasicekproc.R estimMAXLIK.R make.states.mvsl.R
modelparamstransform.R regimes.R trees2slouch.mvsl.R
ape, graphics, methods, mvtnorm, Matrix, matrixcalc, ouch,
PCMBase, stats