Author: Daniel Wiesmann <daniel.wiesmann@tecnico.ulisboa.pt> and David Quinn <djq@urbmet.com>
Description: Software to perform supervised and pixel based raster image classification. It has been designed to facilitate land-cover analysis. Five classification algorithms can be used: Maximum Likelihood Classification, Multinomial Logistic Regression, Neural Networks, Random Forests and Support Vector Machines. The output includes the classified raster and standard classification accuracy assessment such as the accuracy matrix, the overall accuracy and the kappa coefficient. An option for in-sample verification is available.

Title: Range Ancestral State Estimation for Phylogeography and
Authors@R: c(person("Ignacio", "Quintero", role = c("aut", "cre"), email = "ignacio.quintero@yale.edu"),
person("Forrest W.", "Crawford", role = "aut", email = "forrest.crawford@yale.edu"),
person("Petr", "Keil", role = "aut", email = "petrkeil@seznam.cz"))
Depends: R (>= 2.14.0), methods, grDevices, stats, ape (>= 3.1-0),
Description: The rase package primarily implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., Crawford, F. W. 2015 Historical Biogeography Using Species Geographical Ranges. Systematic Biology. doi: 10.1093/sysbio/syv057. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.
Packaged: 2015-08-13 14:22:07 UTC; ignacioquintero

Description: The rase package primarily implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., & Crawford, F. W. (2015). Historical Biogeography Using Species Geographical Ranges. Systematic biology, 64(6), 1059-1073. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.