Description: 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

Imports: rgl, data.table, statmod, methods

Title: MultiVariate Stochastic Linear Ornstein-Uhlenbeck models for
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history.
Depends: R(>= 2.9.1), ouch, ape, numDeriv, mvtnorm, corpcor
Collate: regimes.R treeDists.R grid.R matrixexps.R
sdemoments.R sdemomentsphyl.R loglik.R ci.R phylgls.R

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for

Description: 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>.
Collate: bootstrap.R evolmodelest.R matrixexps.R phylgls.R
Imports: ape, graphics, methods, mvtnorm, Matrix, matrixcalc, ouch,

Imports: ape (>= 5.3), graphics, methods, mvtnorm, Matrix, matrixcalc,

Description: 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>. The suggested PCMBaseCpp package (which significantly speeds up the likelihood calculations) can be obtained from <https://github.com/venelin/PCMBaseCpp/>.
ouch, PCMBase (>= 1.2.10), stats, TreeSim

Suggests: PCMBaseCpp (>= 0.1.9), geiger, ggplot2, knitr, rdryad (>=

sdemoments.R estimBM.R getESS.R modelparams.R phyltree_paths.R
Imports: ape (>= 5.3), graphics, methods, mvtnorm, Matrix, ouch,
PCMBase (>= 1.2.10), stats, TreeSim, matrixcalc
Suggests: PCMBaseCpp (>= 0.1.9), geiger, ggplot2, knitr, rmarkdown,