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 |