| analogue-package {analogue} | R Documentation |
Fits Modern Analogue Technique transfer function models for prediction of environmental data from species data. Also performs analogue matching, a related technique used in palaeo ecological restoration.
| Package: | analogue |
| Type: | Package |
| Version: | 0.4-3 |
| Date: | 2007-09-15 |
| Depends: | R (>= 2.5.0), stats, graphics, vegan |
| License: | GPL Version 2 |
| Built: | R 2.5.1; ; 2007-08-03 13:44:47; unix |
Index:
RMSEP Root mean square error of prediction
analog Analogue matching
analogue-package Analogue methods for palaeoecology
bayesF Bayes factors
bootstrap Bootstrap estimation and errors
bootstrapObject Bootstrap object description
cma Close modern analogues
dissimilarities Extract dissimilarity coefficients from models
distance Flexibly calculate dissimilarity or distance
measures
getK Extract and set the number of analogues
join Merge species data sets on common columns
(species)
mat Modern Analogue Technique transfer function
models
mcarlo Monte Carlo simulation of dissimilarities
minDC Extract minimum dissimilarities
plot.bayesF Bayes factor plots
plot.dissimilarities Plots the distribution of extracted
dissimilarities
plot.mat Plot diagnostics for a mat object
plot.mcarlo Plott Monte Carlo simulated dissimilarity
distributions
plot.minDC Plot of minimum dissimilarity per sample
plot.roc Plot ROC curves and associated diagnostics
predict.mat Predict method for Modern Analogue Technique
models
reconPlot Stratigraphic plots of palaeoenvironmental
reconstructions
rlgh Round Loch of Glenhead Diatoms
roc ROC curve analysis
screeplot.mat Screeplots of model results
summary.analog Summarise analogue matching results
summary.bootstrap.mat Summarise bootstrap resampling for MAT models
summary.cma Summarise the extraction of close modern
analogues
summary.mat Summarise Modern Analogue Technique models
summary.predict.mat Summarise MAT model predictions
swapdiat SWAP sub-fossil diatom training set
swappH SWAP pH training set
Gavin L. Simpson.
Maintainer: Gavin L. Simpson <gavin.simpson@ucl.ac.uk>