Title: Extended Probability Distribution Functions
Description: The package provides a consistent, unified and extensible
framework for parameter estimation of probability distributions; it extends
parameter estimation procedures to allow for weighted samples; moreover, it
extends the gallery of available distributions.
A. Jonathan R. Godfrey <A.J.Godfrey@massey.ac.nz>,

Imports: numDeriv, optimx, VGAM, SuppDists, truncdist
Suggests: knitr, ggplot2, xtable, PerformanceAnalytics
Packaged: 2014-10-17 08:10:46 UTC; Haizhen Wu

parameter estimation procedures to allow for weighted samples; finally, it
Author: Haizhen Wu <h.wu2@massey.ac.nz>, A. Jonathan R. Godfrey

Title: Extending the Range of Functions for Probability Distributions
Description: A consistent, unified and extensible
framework for estimation of parameters for probability distributions, including
parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.
Suggests: ggplot2, knitr, PerformanceAnalytics, stats, SuppDists,

truncdist, VGAM, xtable, graphics, utils, rmarkdown

Title: An Extended Mallows Model and Its Hierarchical Version for
Description: For multiple full/partial ranking lists, R package 'ExtMallows' can (1) detect whether the input ranking lists are over-correlated, and (2) use the Mallows model or extended Mallows model to integrate the ranking lists, and (3) use hierarchical extended Mallows model for rank integration if there are groups of over-correlated ranking lists.
Author: Han Li, Minxuan Xu, Jun S. Liu and Xiaodan Fan
Packaged: 2018-07-05 14:25:54 UTC; Administrator

Description: By using a multispectral image and ESRI shapefile (Point/Polygon), a data table will be generating for classification or regression. The data table will be contained by band wise raster values and class ids.