tabula 1.6.1
Bugfixes & changes
- Remove all previously deprecated methods.
Breaking changes
- Remove dating methods:
*_mcd(), *_event(), *_accumulation(), plot_date() now belong to fasti.
- Remove frequency increment test:
test_fit() and plot_time() now belong to fasti.
tabula 1.6.0

New classes and methods
- Add
DateEvent: S4 class to store the event and accumulation times of archaeological assemblages.
- Add
CompositionIndex: S4 class that represent an asymptotic species richness.
- Add
IncrementTest: S4 class that represent a Frequency Increment Test results.
- Add
eppm() and pvi() to calculate independence statistics.
- Add
predict_event() and predict_accumulation to estimate the event and accumulation dates of an assemblage.
- Add
bootstrap_*() and jackknife_*() to perform bootstrap and jackknife resampling.
- Add
simulate_evenness() and simulate_richness() to measure diversity in simulated assemblages.
seriate_average() replaces seriate_correspondance().
seriate_rank() replaces seriate_reciprocal().
Bugfixes & changes
- Remove all previously deprecated methods.
- Deprecate
seriate_correspondance(), seriate_reciprocal() and refine_dates(),
index_composition() now returns a CompositionIndex object.
similarity() now returns a dist object.
date_mcd() now returns an DateMCD object.
test_fit() now returns an IncrementTest object.
DiversityIndex lost bootstrap() and jackknife() slots.
- Rename
BootCA to RefineCA.
- Rename
DateModel to DateEvent.
RefineCA and DateEvent now inherit from dimensio::CA.
Enhancements
date_mcd(), date_event() and plot_time() gained a new dates argument.
Internals
- Imports arkhe >= 0.3.0
- Re-export methods from arkhe.
- Imports dimensio.
- Use datasets from folio.
- Remove pbapply from suggested packages.
- Rewrite
plot_ford() and plot_bertin().
tabula 1.5.1

Bugfixes & changes
- CRAN pacakge check warning (r-devel) has been fixed (use a
stringsAsFactors = FALSE default).
tabula 1.5.0

Bugfixes & changes
- CRAN package check error with long doubles disabled has been fixed (tested with R-hub
debian-gcc-devel-nold).
- CRAN package check notes have been fixed.
Internals
tabula 1.4.0

New classes and methods
DiversityIndex, HeterogeneityIndex, EvennessIndex and RichnessIndex: S4 classes that represent diversity index.
index_heterogeneity() replaces diversity().
index_evenness() replaces evenness().
index_richness() replaces richness().
index_composition() allows to estimate asymptotic species richness.
plot_diversity() produces a diversity vs sample size graph and allow to compare estimates with simulated assemblages.
- Add replacement methods for the
*Matrix classes.
Bugfixes & changes
- Deprecate
diversity(), evenness() and richness().
Internals
- Display progress bars only if
interactive() is TRUE and pbapply is installed.
tabula 1.3.0

New classes and methods
Matrix S4 class is now the superclass of all matrix-like classes.
AbundanceMatrix virtual S4 class is defined as the superclass of CountMatrix, FrequencyMatrix and IncidenceMatrix.
SpaceTime S4 class represents space-time informations.
as_*() coerce a matrix or data.frame to a CountMatrix, FrequencyMatrix, IncidenceMatrix, OccurrenceMatrix or SimilarityMatrix.
date_event() replaces dateEvent().
date_mcd() allows Mean Ceramic Date estimation.
get_dates() and set_dates<- allow to extract and replace chronological informations in AbundanceMatrix objects.
plot_bertin() and plot_ford() replace plotBar().
plot_date() replaces plotDate().
plot_date() gained a method for AbundanceMatrix objects.
plot_heatmap() replaces plotMatrix().
plot_rank() replaces plotRank().
plot_spot() replaces plotSpot().
plot_time() produces an abundance vs. time graph.
refine_dates() and refine_seriation() replace refine().
seriate_reciprocal() and seriate_correspondance() replace seriate().
test_diversity() allows Shannon diversity test.
test_fit() produces a Frequency Increment Test.
Bugfixes & changes
CountMatrix, FrequencyMatrix and IncidenceMatrix now also contain the SpaceTime class.
- Deprecate
plotBar(), plotMatrix(), plotRank(), plotSpot(), refine(), seriate().
- Remove
dateEvent().
- Empty rows/columns are removed prior to CA seriation to avoid error in
svd().
Enhancements
- Add the Merzbach ceramics dataset.
- The
plot_date() method for DateModel objects now allows to display an activity or a tempo plot.
Internals
- Reduce required R version to 3.2.
- Error handling has been revised and error messages have been harmonized.
- Refer to ggplot2 functions using
:: (stop importing the entire package).
- Use vdiffr to test graphical output.
- Replace
FactoMinerR::CA() with ca::ca() (this avoids having to install all {FactoMineR} dependencies when only one function is used).
- Remove dplyr from the imported packages, move magrittr to suggested packages.
Experimental
- When a
Matrix object is first created, an identifier (UUID v4) is generated with generate_uuid(). This ID is preserved when coercing to another class. This makes it possible to identify objects representing the same initial data and associate them with the results of specific computations.
get_coordinates() and set_coordinates<- allow to extract and replace spatial informations in AbundanceMatrix objects.
get_features() allows to convert an AbundanceMatrix object to a data.frame. It is intended for compatibility with the sf package.
tabula 1.2.0

New classes and methods
- The function
dateEvent() allows to compute chronological models as described in Bellanger and Husi (2006).
DateModel this S4 class stores the results of dateEvent().
SimilarityMatrix this S4 class represents a (dis)similarity matrix.
plotDate() method for DateModel objects.
plotSpot() methods for SimilarityMatrix and OccurrenceMatrix objects.
[ operators for several classes.
Bugfixes & changes
OccurrenceMatrix now stores the number of times each pair of taxa occurs together in at least one sample.
similarity() now returns an object of class SimilarityMatrix.
plotBar() no longer add confidence interval by default.
- Remove useless accessors.
Enhancements
similarity() gained a new estimator: binomial co-occurrence assessment method (similarity between types).
seriate() gained a new argument to pass a BootCA object.
Internals
- Add an optional progress bars with {pbapply} in long running functions.
tabula 1.1.0

Bugfixes & changes
similarity() now returns a symmetric matrix.
Enhancements
richness() gained new estimators:
- For abundance data: Chao1, bias-corrected Chao1, improved Chao1 and Abundance-based Coverage Estimator (ACE).
- For replicated incidence data: Chao2, bias-corrected Chao2, improved Chao2 and Incidence-based Coverage Estimator (ICE).
Internals
- Add references in the
Description field of the DESCRIPTION file.
- Split the documentation for alpha-diversity measures.
- Split the documentation for beta-diversity measures.
tabula 1.0.0

New classes and methods
BootCA this S4 class stores partial bootstrap CA-based seriation results.
[[ operators acting on PermutationOrder and BootCA to extract parts.
Bugfixes & changes
refine() method for CountMatrix now use stats::rmultinorm() for partial bootstrap CA.
Enhancements
- Add the Zuni and Mississippi ceramics datasets.
similarity() gained a new estimator: the Brainerd-Robinson coefficient of similarity.
Internals
- Add a vignette for matrix seriation.
tabula 0.9.0
