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A B C D F G H I J L M O P R S T V W
| analogue-package | Analogue methods for palaeoecology |
| analog | Analogue matching |
| analog.default | Analogue matching |
| analogue | Analogue methods for palaeoecology |
| as.data.frame.optima | Weighted averaging optima and tolerance ranges |
| as.data.frame.tolerance | Weighted averaging optima and tolerance ranges |
| bayesF | Bayes factors |
| Biome | North American Modern Pollen Database |
| bootstrap | Bootstrap estimation and errors |
| bootstrap.default | Bootstrap estimation and errors |
| bootstrap.mat | Bootstrap estimation and errors |
| bootstrap.wa | Bootstrap estimation and errors for WA models |
| bootstrapObject | Bootstrap object description |
| Climate | North American Modern Pollen Database |
| cma | Close modern analogues |
| cma.analog | Close modern analogues |
| cma.default | Close modern analogues |
| coef.wa | Weighted averaging transfer functions |
| densityplot.residLen | Lattice density plot for residual lengths |
| deshrink | Deshrinking techniques for WA transfer functions |
| deshrinkPred | Deshrinking techniques for WA transfer functions |
| dissim | Extract dissimilarity coefficients from models |
| dissimilarities | Extract dissimilarity coefficients from models |
| dissimilarities.analog | Extract dissimilarity coefficients from models |
| distance | Flexibly calculate dissimilarity or distance measures |
| distance.default | Flexibly calculate dissimilarity or distance measures |
| distance.join | Flexibly calculate dissimilarity or distance measures |
| fitted.bootstrap.mat | Bootstrap estimation and errors |
| fitted.mat | Modern Analogue Technique transfer function models |
| fitted.wa | Weighted averaging transfer functions |
| fittedY | Squared residual length diagnostics |
| fuse | Fused dissimilarities |
| fuse.dist | Fused dissimilarities |
| fuse.matrix | Fused dissimilarities |
| getK | Extract and set the number of analogues |
| getK.bootstrap.mat | Extract and set the number of analogues |
| getK.default | Extract and set the number of analogues |
| getK.mat | Extract and set the number of analogues |
| getK.predict.mat | Extract and set the number of analogues |
| head.join | Merge species data sets on common columns (species) |
| hist.residLen | Histogram plot for residual lengths |
| histogram.residLen | Lattice histogram plot for residual lengths |
| ImbrieKipp | Imbrie and Kipp foraminifera training set |
| join | Merge species data sets on common columns (species) |
| Location | North American Modern Pollen Database |
| logitreg | Logistic regression models for assessing analogues/non-analogues |
| logitreg.analog | Logistic regression models for assessing analogues/non-analogues |
| logitreg.default | Logistic regression models for assessing analogues/non-analogues |
| mat | Modern Analogue Technique transfer function models |
| mat.default | Modern Analogue Technique transfer function models |
| mat.formula | Modern Analogue Technique transfer function models |
| mcarlo | Monte Carlo simulation of dissimilarities |
| mcarlo.analog | Monte Carlo simulation of dissimilarities |
| mcarlo.default | Monte Carlo simulation of dissimilarities |
| mcarlo.mat | Monte Carlo simulation of dissimilarities |
| minDC | Extract minimum dissimilarities |
| minDC.analog | Extract minimum dissimilarities |
| minDC.default | Extract minimum dissimilarities |
| minDC.predict.mat | Extract minimum dissimilarities |
| minDC.wa | Extract minimum dissimilarities |
| optima | Weighted averaging optima and tolerance ranges |
| optima.default | Weighted averaging optima and tolerance ranges |
| panel.Loess | Loess smooths to stratigraphic diagrams |
| panel.Stratiplot | Panel function for stratigraphic diagrams |
| performance | Transfer function model performance statistics |
| performance.bootstrap.wa | Transfer function model performance statistics |
| performance.predict.wa | Transfer function model performance statistics |
| performance.wa | Transfer function model performance statistics |
| plot.bayesF | Bayes factors |
| plot.cma | Close modern analogues |
| plot.dissimilarities | Plots the distribution of extracted dissimilarities |
| plot.logitreg | Produces plots of analogue logistic regression models |
| plot.mat | Plot diagnostics for a mat object |
| plot.mcarlo | Plot Monte Carlo simulated dissimilarity distributions |
| plot.minDC | Plot of minimum dissimilarity per sample |
| plot.residLen | Plot method for residual lengths |
| plot.roc | Plot ROC curves and associated diagnostics |
| plot.wa | Plot diagnostics for a weighted averaging model |
| Pollen | North American Modern Pollen Database |
| predict.mat | Predict method for Modern Analogue Technique models |
| predict.wa | Predict from a weighted average model |
| print.analog | Analogue matching |
| print.bayesF | Bayes factors |
| print.bootstrap.mat | Bootstrap estimation and errors |
| print.bootstrap.wa | Bootstrap estimation and errors for WA models |
| print.cma | Close modern analogues |
| print.fitted.bootstrap.mat | Bootstrap estimation and errors |
| print.fitted.mat | Modern Analogue Technique transfer function models |
| print.logitreg | Logistic regression models for assessing analogues/non-analogues |
| print.mat | Modern Analogue Technique transfer function models |
| print.mcarlo | Monte Carlo simulation of dissimilarities |
| print.minDC | Extract minimum dissimilarities |
| print.optima | Weighted averaging optima and tolerance ranges |
| print.performance | Transfer function model performance statistics |
| print.predict.mat | Predict method for Modern Analogue Technique models |
| print.predict.wa | Predict from a weighted average model |
| print.residLen | Squared residual length diagnostics |
| print.residuals.bootstrap.mat | Bootstrap estimation and errors |
| print.residuals.mat | Modern Analogue Technique transfer function models |
| print.roc | ROC curve analysis |
| print.summary.analog | Summarise analogue matching results |
| print.summary.bootstrap.mat | Summarise bootstrap resampling for MAT models |
| print.summary.cma | Summarise the extraction of close modern analogues |
| print.summary.logitreg | Logistic regression models for assessing analogues/non-analogues |
| print.summary.mat | Summarise Modern Analogue Technique models |
| print.summary.predict.mat | Summarise MAT model predictions |
| print.summary.roc | ROC curve analysis |
| print.tolerance | Weighted averaging optima and tolerance ranges |
| print.wa | Weighted averaging transfer functions |
| reconPlot | Stratigraphic plots of palaeoenvironmental reconstructions |
| reconPlot.default | Stratigraphic plots of palaeoenvironmental reconstructions |
| reconPlot.predict.mat | Stratigraphic plots of palaeoenvironmental reconstructions |
| reconPlot.predict.wa | Stratigraphic plots of palaeoenvironmental reconstructions |
| resid.bootstrap.mat | Bootstrap estimation and errors |
| resid.mat | Modern Analogue Technique transfer function models |
| residLen | Squared residual length diagnostics |
| residuals.bootstrap.mat | Bootstrap estimation and errors |
| residuals.mat | Modern Analogue Technique transfer function models |
| residuals.wa | Weighted averaging transfer functions |
| rlgh | Round Loch of Glenhead Diatoms |
| RMSEP | Root mean square error of prediction |
| RMSEP.bootstrap.mat | Root mean square error of prediction |
| RMSEP.bootstrap.wa | Root mean square error of prediction |
| RMSEP.default | Root mean square error of prediction |
| RMSEP.mat | Root mean square error of prediction |
| roc | ROC curve analysis |
| roc.analog | ROC curve analysis |
| roc.default | ROC curve analysis |
| roc.mat | ROC curve analysis |
| Salinity | Imbrie and Kipp foraminifera training set |
| screeplot.bootstrap.mat | Screeplots of model results |
| screeplot.mat | Screeplots of model results |
| setK<- | Extract and set the number of analogues |
| setK<-.default | Extract and set the number of analogues |
| setK<-.mat | Extract and set the number of analogues |
| sqrlLinear | Squared residual length diagnostics |
| sqrlUnimodal | Squared residual length diagnostics |
| stdError | Standard error of MAT fitted and predicted values |
| stdError.mat | Standard error of MAT fitted and predicted values |
| stdError.predict.mat | Standard error of MAT fitted and predicted values |
| Stratiplot | Palaeoecological stratigraphic diagrams |
| Stratiplot.default | Palaeoecological stratigraphic diagrams |
| Stratiplot.formula | Palaeoecological stratigraphic diagrams |
| 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.logitreg | Logistic regression models for assessing analogues/non-analogues |
| summary.mat | Summarise Modern Analogue Technique models |
| summary.predict.mat | Summarise MAT model predictions |
| summary.roc | ROC curve analysis |
| SumSST | Imbrie and Kipp foraminifera training set |
| swapdiat | SWAP sub-fossil diatom and pH training set |
| swappH | SWAP sub-fossil diatom and pH training set |
| tail.join | Merge species data sets on common columns (species) |
| tolerance | Weighted averaging optima and tolerance ranges |
| tolerance.default | Weighted averaging optima and tolerance ranges |
| tran | Common data transformations and standardizations |
| tran.default | Common data transformations and standardizations |
| tran.formula | Common data transformations and standardizations |
| V12.122 | Imbrie and Kipp foraminifera training set |
| wa | Weighted averaging transfer functions |
| wa.default | Weighted averaging transfer functions |
| wa.formula | Weighted averaging transfer functions |
| WinSST | Imbrie and Kipp foraminifera training set |