Vignettes work on a subset of data for speed.
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.
CRAN compliance version re CITATION
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
).
rne()
is now several orders of magnitude faster.
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.
In randomTF(), if argument col
was missing, all columns
of the reconstruction would be used, because lazy evaluation was not
done before use in a formula. Code now check col
is set
when needed.
Maintenance release to fix CRAN check error.
MAT shortcut now works when autosim is set
Lots of changes in this version
p.val
becomes
p_val
and is not the p-value rather than the percentile of
the null distributionmodelMaker
and
randomTFmm
(which can be used when a calibration set is
used for many cores) is moved within randomTF
randomTF
and
obs.cor
randomTF
now accepts a vector for the environmemtal
datarandomTF
and obs.cor
have a
permute
argument that permutes the environmental variable
rather than simulating one from a uniform distribution. This is only
possible with a single environmental variable.autoplot
functions for the output of
randomTF
and obs.cor
mat.h
Deleted as rioja::MAT
can now do
h-block cross-validationmodelMaker
and randomTFmm
- this
functionality is now implemented in randomTF
agelme
, predict.agelme
and
plot.fittedAgelme
age-depth modelling functions from
Heegaard et al (2005)coverage.plot
Diagnostic plot for reconstructionscentipede.plot
Plot WA optima and tolerancesmake.env
, species
, make.env
Simulate species-environment relationships based on Minchin’s (1983)
compas.rotate
No longer needed as gstat now takes geodesic
distance.simulate.spatial
Was a wrapper for krige(), now easier
to use krige() directly.randomTF
and randomTFmm
bug when
partialling reconstructions out fixedobs.cor
bug when species not in same order in
calibration set and fossil data fixed.ModelMaker
and randomTFmm
allows models
for randomTF to be fitted once and used for several reconstructions.
This can be much faster, but does not work with MAT.plot.palaeoSig
p-value highlighted can be
selected.plot.obscor
p-value highlighted can be selected.randomTF
Modified to accept predictions in a
vector.obs.cor
bug when species not in same order in
calibration set and fossil data fixed.identify.obscor
allows species names to be added to
plots interactively.obs.cor
Now includes correlations with several
different species weightsplot.obscor
upgraded to allow the a choice of which
abundance weighting is used, and the code for scaling points has been
improved.randomTF
bug when partialling out reconstruction other
than MAT now fixed.RNE
replaces function mat.rne
,
mat.he
and mat.rd
. RNE
allows any
of the transfer function methods in to be used to find the dependence of
transfer function performance on spatially close observations.plot.RNE
replaces plot.rne
to work with
the output of RNE
.obs.cor
replaces the previous version of
obs.cor
, sim.cor
and obscor.sig
to make the function easier to use and more similar to
randomTF
plot.obscor
replaces the previous version of
plot.obscor
and plot.simcor
to use the new
output of obs.cor
. The two plot types can be selected with
the argument which
.jointsig
: tests if two environmental variables have
joint control on fossil assemblage composition.plot.js
: a plot
function for
jointsig
Hill.N2.core
now 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.palaeoSig
has been improved to give neater
figures.wajack
was removed as WA
is now
implemented in .mat.h
will be removed in the next release, when code
for h-block resampling should be implemented in .