Author: Premal Shah, Benjamin Fitzpatrick, James Fordyce
Description: Iterates through a phylogenetic tree to identify regions
of rate variation using the parametric rate comparison test.
Depends: partitions, stats, VGAM, MASS, ape, apTreeshape, geiger, laser
Packaged: 2011-06-03 19:27:08 UTC; jamesfordyce

Packaged: 2012-08-24 18:17:15 UTC; jamesfordyce

Packaged: 2013-03-15 16:54:48 UTC; jamesfordyce

Depends: partitions, stats, VGAM, MASS, ape, apTreeshape, geiger,
Packaged: 2013-05-03 18:22:36 UTC; jamesfordyce

Title: Classical Test Theory Item Analysis
Description: Runs classical item analysis for multiple-choice test items and polytomous items (e.g., rating scales). The statistics reported in this package can be found in any measurement textbook such as Crocker and Algina (2006, ISBN:9780495395911).

Title: Approximate probability densities by iterated Laplace
Description: The iterLap (iterated Laplace Approximations) algorithm
approximates a general (possibly non-normalized) probability
density on R^p, by repeated Laplace approximations to the
difference between current approximation and true density (on
log scale). The final approximation is a mixture of
multivariate normal distributions and might be used for example
as a proposal distribution for importance sampling (eg in
Bayesian applications). The algorithm can be seen as a
computational generalization of the Laplace approximation
suitable for skew or multimodal densities.

Description: The iterLap (iterated Laplace approximation) algorithm
Bayesian applications).  The algorithm can be seen as a

Description: The iterLap (iterated Laplace approximation) algorithm approximates a
general (possibly non-normalized) probability density on R^p, by repeated
Laplace approximations to the difference between current approximation
and true density (on log scale). The final approximation is a mixture of
multivariate normal distributions and might be used for example as a
proposal distribution for importance sampling (eg in Bayesian applications).
The algorithm can be seen as a computational generalization of the Laplace
approximation suitable for skew or multimodal densities.