MATTOOLS v1.1

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Modern Calibration Functions for the Modern Analog Technique (MAT)

This package in includes functions for receiver operating characteristic (ROC) analyses as well as Monte Carlo simulation. It includes specific graphical functions for interpreting the output of these techniques.

Functions in MATTOOLS

Name Description
great.circle.distance.f Computes great circle distance
modpoll Sample Modern Pollen Dataset
mat.fossavg Fossil sample site environmental reconstruction
euclidean.compx.f Decomposition of direction to x-vector component
zagoskin Sample Fossil Pollen Dataset
mat.plot.recon Plot output from mat.fossavg
euclidean.direction.f Euclidean direction on a plane
mat.mc Monte Carlo Simulation for Determining Critical Threasholds of Dissimilarity
mat.ROCcalc ROC calculation
mat.jump Optimize the alpha value
mattools.roc tools
mat.plot.mc Plots output from mat.mc
mat.plotjump Plot Jump Analysis
polyarea calculate area of polygon
mat.roc.up ROC Analysis
mat.roc.allpair ROC Analysis by Pairwise Comparisons
mat.plotroc Plot output of ROC analysis
mattools-package Modern Calibration Functions for the Modern Analog Technique
spherical.direction.f spherical direction
mat.dissim Dissimilarity object for MAT reconstructions
mat.jumprecon Modified Jump Method (MJM) Application
euclidean.distance.f Euclidean distance function
euclidean.compy.f Decomposition of direction to y-vector component
mat.roc ROC analysis for the Modern Analog Technique (MAT)
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Details

Type Package
Date 2012-07-23
License GPL (>= 2)
LazyLoad yes
LazyData TRUE
LazyDataCompression bzip2
Packaged 2012-08-17 20:31:03 UTC; steve
Repository CRAN
Date/Publication 2012-08-19 05:21:39

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