random_sevt and random_parentslist.depsubtree which build the
dependency subtree.sevt and ceg
objects to graphs (edge lists and igraph).plot.sevt and on graph conversion methods
when ignoring stage “1” which is assigned to rootsevt_fit earns the scope
argument, it is now possible to do partial re-fit of staged tree models.
Moreover, with the compute_logLik argument, the user can
decide if the log-likelihood should be computed when fitting the
model.stages_hclust can now search the best cut of the
hierarchical cluster with respect to some score function to
be maximized.stages_simplebhc implements a new stage structure
search by iterative joining of positions, thus searching in the space of
simple staged trees.sevt_simplify return the simplified staged tree, that
is a stage tree where positions and stages are equivalent.ceg when
model has less than two variables.cli package for errors and warnings.sevt objects.stages function and new indexing of
stages via a new dedicated class sevt.stgs.stages_csbhc, a new stages learning
algorithm which iteratively add context specific independencies.
Additionally functions ci_matrices and
join_all have been added.inst/CITATION file added as requested by JSS.plot.ceg new plotting functions using
igraph plotting.make_stages_col which help computing
stages colors for sevt and ceg plotting.sample_from now returns a data.frame of factors.prob earns a new argument conditional_on,
that makes easier to compute conditional probabilities.confint.sevt, implement a method for confidence
intervals for the parameters of a model of class sevt.lr_test new function, implementing likelihood-ratio
test.search_best and search_greedy.cid function that implements context intervention
discrepancy.sevt
and DAG representations.as_sevt.bn.fit.find_stage.summary.sevt for objects without
ctables.path_probability and prob for
sevt objects with not ordered $prob.fix color assignment consistency between plot.sevt and
barplot.sevt
This version introduces major changes, in functions capabilities and
in functions naming. These changes are almost surely breaking any
previous code using older versions of the package. In particular, all
functions named *.sevt but class methods are now called
differently. Moreover, various improvements and functionalities are
added to better deal with unobserved situations and to improve
computations. Additional model selection methods based on clustering are
now available.
COMPLETE CHANGELOG:
fit parameter from full,
indep. Now full and indep always
fit the model while sevt is just the basic constructor of
the sevt class.full and indep by default unobserved
situations are joined using join_unobserved, and
probabilities are fitted only after the unobserved situations are
joined, improving speed. Moreover, the name of the unobserved stages are
stored as name_unobserved in the staged tree object.new_label to improve
speed.plot.sevt allows now to set edges color with
col_edges.plot.sevt and barplot.sevt it is
possible to specify stages that should be ignored and not plotted via
the ignore argument, by default the
name_unobserved stages are ignored.plot.sevt adds variables names by default
(var_names argument).compare_stages: because of changes in
plot.sevt we need to specify that the root is always
considered identical.stndnaming accepts now
uniq, prefix and ignore
arguments, which control how stage names are generated and if some stage
names should be left untouched (default: the
name_unobserved stages).stages_bj (previously bj.sevt) distance
is now passed with a character and no longer as a function.stages_hclust and
stages_kmeans, to learn stage structure using hierarchical
or k-means clustering.scope and
ignore parameters that allow to specify among which
variables run the algorithm and which stages should be left untouched
(default: the name_unobserved stages).1:length(x) with the suggested
seq_along in all code.stages_bj and
stages_hclust are compatibles.as.sevt, only implemented
one method for bn.fit class from bnlearn packageinclusions_stages and provide better output.summary, stages were wrongly matched to
probabilitiesbarplot_stages to draw barplots of the
floret probabilities. Implemented relative tests.plot.sevt.order can be passed to
staged_ev_tree.bn.fitjoin_zero alias for join_zero_countsindep, probabilities should not be of class table
(it was triggering a bug in summary)subtree, now removing unused probabilities (it was
triggering a bug in summary)get_stage and get_path and
relative testsxor is renamed as noisy_xornoisy_xorNaN log-probabilities in
predict.sevtsummary.sevt function addedsubtree.sevt works now for fitted objectsinclusion.stages functionpredict.sevt now returns conditional
probabilities P(C|X)predict.sevt works also if
newdata does not include the classcompare.sevt works with three different
methods.join_stages throws error with bad stages.lambda = 0 does not induce errors in
logLik, join_stages and thus in the model
selection algorithms.nvar.sevt bugceg.sevtvarnames.sevt and
nvar.sevtfit.sevt is replaced by sevt.fit
(following the lm.fit naming). fit.sevt is
still available but marked as (DEPRECATED) in doc.compare.sevt is updated with info on the
capabilities.First released version of the package