Imbrie and Kipp foraminifera training set
Analogue matching
Abernethy Forest Pollen Sequence
Bootstrap estimation and errors
Analogue and weighted averaging methods for palaeoecology
North American Modern Pollen Database
Root mean square error of prediction
Bayes factors
Internal analogue Functions
Palaeoecological stratigraphic diagrams
Cross-validation of palaeoecological transfer function models
Deshrinking techniques for WA transfer functions
Lattice density plot for residual lengths
Fitted values for the training set from logistic regression
models
Close modern analogues
Bootstrap object description
Compare proxies across two data sets
Extract and set the number of analogues
Bootstrap estimation and errors for WA models
Fused dissimilarities
Caterpillar plot of species' WA optima and tolerance range.
Plot of minimum dissimilarity per sample
Positions of samples along a unit-length ordination gradient.
Transfer function model performance statistics
Histogram plot for residual lengths
Plot a fitted principal curve in PCA space
Extract dissimilarity coefficients from models
Merge species data sets on common columns (species)
Lattice histogram plot for residual lengths
Logistic regression models for assessing analogues/non-analogues
Select taxa (variables) on basis of maximum abundance attained
and number of occurrences.
Modern Analogue Technique transfer function models
Extract minimum dissimilarities
Monte Carlo simulation of dissimilarities
Plots the distribution of extracted dissimilarities
Plot ROC curves and associated diagnostics
Plot method for residual lengths
Plot diagnostics for a mat object
Plot Monte Carlo simulated dissimilarity distributions
Rank correlation between environmental and species dissimilarities.
scores
method for principal curve objects of
class "prcurve"
.Predict news locations \& fitted values on a principal curve
Screeplots of model results
Predict from a weighted average model
Stratigraphic plots of palaeoenvironmental reconstructions
Number of samples per gradient segments
Plot species responses along gradients or latent variables
Flexibly calculate dissimilarity or distance measures
Calculate Hill's N2 diversity measure
Weighted averaging optima and tolerance ranges
Common data transformations and standardizations
Prinicpal component regression transfer function models
Panel function for stratigraphic diagrams
Produces plots of analogue logistic regression models
Plot distribution of samples along gradient
Residuals of a principal curve fit.
Species responses along gradients.
Squared residual length diagnostics
Loess smooths to stratigraphic diagrams
Fits a principal curve to m-dimensional data
Plot diagnostics for a weighted averaging model
Variance explained by ordination axes
Predict method for Modern Analogue Technique models
Round Loch of Glenhead Diatoms
Standard error of MAT fitted and predicted values
ROC curve analysis
SWAP sub-fossil diatom and pH training set
Summarise MAT model predictions
Select samples from along an environmental gradient
Smoother plugin function for use in fitting a principal curve
Posterior probability of analogue-ness for fossil samples
Predicted values from a principal components regression
Summarise bootstrap resampling for MAT models
Summarise the extraction of close modern analogues
Weighted averaging transfer functions
SWAP sub-fossil diatom and pH training set
Summarise analogue matching results
Summarise Modern Analogue Technique models
Timetracks of change in species composition
Weighted correlation test of WA reconstruction