Description: Implements a fuzzy-logic-based map-matching algorithm used to match GPS
trajectories to the OpenStreetMap digital road network.
Suggests: rjson, maptools, stringr, RCurl,
Collate: var_bounds.R fuzzy_model.R FIS1.R FIS2.R FIS3.R IMP.R SMP1.R
SMP2.R DRN.R fuzzyMM.R Data-track.R fuzzyMM-package.R

Package: fuzzyOP
Type: Package
Title: Fuzzy numbers and the main mathematical operations
Version: 1.0
Date: 2008-06-15
Author: Aklan Semagul, Altindas Emine, Macit Rabiye, Umar Senay, Unal Hatice
Maintainer: Aklan Semagul, Altindas Emine, Macit Rabiye, Umar Senay, Unal Hatice <fuzzyOP@gmx.at>
Description: This package contains functions which allow the depiction of fuzzy numbers.
Besides, the main arithmetic operations are applied to fuzzy numbers and the
extension principle for continuous functions can be applied and plotted.
License: GPL (>= 2)
Packaged: Mon Jul  7 14:51:40 2008; hornik

Author: Semagul Aklan, Emine Altindas, Rabiye Macit, Senay Umar, Hatice
Maintainer: Semagul Aklan, Emine Altindas, Rabiye Macit, Senay Umar,
Description: This package contains functions which allow the depiction
of fuzzy numbers. Besides, the main arithmetic operations are
applied to fuzzy numbers and the extension principle for
continuous functions can be applied and plotted.
Packaged: Wed Mar 11 19:11:12 2009; Aklan

Title: Fuzzy Rank Tests and Confidence Intervals
Packaged: Wed Dec 28 16:16:39 2005; charlie

Description: Does fuzzy tests and confidence intervals (following Geyer
for sign test and Wilcoxon signed rank and rank sum tests.

Packaged: Tue Oct 9 10:41:56 2007; charlie

and Meeden, Statistical Science, 2005) for sign test and Wilcoxon

Packaged: Sat Dec 17 17:24:18 2005; charlie

Title: Fuzzy Similarity in Species Distributions
Maintainer: A. Marcia Barbosa <barbosa@uevora.pt>
Suggests: maptools, parallel, PBSmapping, sp, tools, raster
Description: Functions to calculate fuzzy versions of species' occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis and prevalence-independent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples.