Author: Samuel Gerber <sgerber@cs.utah.edu>, Kristi Potter
Description: Package for discrete Morse-Smale complex approximation
based on kNN graph. The Morse-Smale complex provides a
decomposition of the domain. This package provides methods to
compute a hierarchical sequence of Morse-Smale complicies and
tools that exploit this domain decomposition for regression and
Title: Morse-Smale approximation, regression and visualization
Depends: R (>= 1.9.0), stats, class, glmnet, stats4, e1071, rgl,

Description: Package for discrete Morse-Smale complex approximation based on kNN graph. The Morse-Smale complex provides a decomposition of the domain. This package provides methods to compute a hierarchical sequence of Morse-Smale complicies and tools that exploit this domain decomposition for regression and visualization of scalar functions.
Depends: R (>= 2.10), stats, class, glmnet, stats4, e1071, rgl,

Depends: R (>= 2.10), Matrix, stats, class, glmnet, stats4, e1071, rgl,

Description: Discrete Morse-Smale complex approximation based on kNN graph. The Morse-Smale complex provides a decomposition of the domain. This package provides methods to compute a hierarchical sequence of Morse-Smale complicies and tools that exploit this domain decomposition for regression and visualization of scalar functions.
Title: Morse-Smale Approximation, Regression and Visualization
Imports: glmnet, e1071, rgl, RColorBrewer, colorspace, stats, grDevices
Packaged: 2015-11-11 19:32:57 UTC; samgerber

Description: Provides methods to perform parameter estimation and
make analysis of multivariate observed outcomes through time which depends
on a latent state variable. All methods scale well in the dimension
of the observed outcomes at each time point. The package contains an
implementation of a Laplace approximation, particle filters like
suggested by Lin, Zhang, Cheng, & Chen (2005)
<doi:10.1198/016214505000000349>, and the gradient and observed information
matrix approximation suggested by Poyiadjis, Doucet, & Singh (2011)
LinkingTo: Rcpp, RcppArmadillo, testthat, nloptr (>= 1.2.0)