Changelog
Source:NEWS.md
palaeoSig 2.1-2
Arguments to autoplot() functions have changed so first is now object rather than x to meet CRAN rules. This probably does not effect anybody unless they had named the first argument.
palaeoSig 2.1-0
Vignettes
New vignette showing how to use a red-noise null model for randomTF().
Changed h-block cross-validation to use sf package for geographic data (rather than sp).
Rewrites
rne() is now several orders of magnitude faster.
bug fixes
In randomTF(), species and fossil data were automatically transformed to matrices so this was done once, not in every iteration. This sometimes failed with MAT. Now this step is recommended in the help file.
Sometimes great-circle distances from a point to itself, calculated with fields::rdist.earth(), are non-zero due to rounding errors. This lead to them not being excluded in the h-block resampling in rne() when the threshold distance was zero. Now the diagonal of the distance matrix is set to zero, removing this problem.
palaeoSig 2.0-1
Lots of changes in this version
Breaking changes
- In the plotting functions
p.valbecomesp_valand is not the p-value rather than the percentile of the null distribution - The functionality of
modelMakerandrandomTFmm(which can be used when a calibration set is used for many cores) is moved withinrandomTF
Other changes
- Lot more sanity checks on inputs to
randomTFandobs.cor -
randomTFnow accepts a vector for the environmemtal data -
randomTFandobs.corhave apermuteargument that permutes the environmental variable rather than simulating one from a uniform distribution. This is only possible with a single environmental variable.
Deleted functions
-
mat.hDeleted asrioja::MATcan now do h-block cross-validation -
modelMakerandrandomTFmm- this functionality is now implemented inrandomTF
Changes in version 1.1-3
CRAN release: 2015-02-17
GENERAL
- Bug fixes and minor improvement, merged package with age-depth functions and R implementation of Minchin’s COMPAS.
- Changes to the namespace mean that the rioja package needs to be loaded explicitly before some of the function will work properly.
NEW FUNCTIONS
-
agelme,predict.agelmeandplot.fittedAgelmeage-depth modelling functions from Heegaard et al (2005) -
coverage.plotDiagnostic plot for reconstructions -
centipede.plotPlot WA optima and tolerances -
make.env,species,make.envSimulate species-environment relationships based on Minchin’s (1983) compas.
Changes in version 1.1-2
CRAN release: 2013-04-18
NEW FUNCTIONS
-
ModelMakerandrandomTFmmallows models for randomTF to be fitted once and used for several reconstructions. This can be much faster, but does not work with MAT.
Changes in version 1.1-1
CRAN release: 2012-06-20
Changes in version 1.1
NEW and REWRITTEN FUNCTIONS
-
RNEreplaces functionmat.rne,mat.heandmat.rd.RNEallows any of the transfer function methods in to be used to find the dependence of transfer function performance on spatially close observations. -
plot.RNEreplacesplot.rneto work with the output ofRNE. -
obs.correplaces the previous version ofobs.cor,sim.corandobscor.sigto make the function easier to use and more similar torandomTF -
plot.obscorreplaces the previous version ofplot.obscorandplot.simcorto use the new output ofobs.cor. The two plot types can be selected with the argumentwhich. -
jointsig: tests if two environmental variables have joint control on fossil assemblage composition. -
plot.js: aplotfunction forjointsig -
Hill.N2.corenow calculates the Minimum, first quartile and median effective number of species for all fossil observations. This makes much more sense than the previous version, which conflated diversity in individual levels and turnover between levels. -
plot.palaeoSighas been improved to give neater figures.