tna 0.4.0
- The
prepare_data() function now produces an object of
class tna_data, which can be directly used as an argument
to build_model() and other methods.
- The
prepare_data() function now supports
order when used together with time and
actor.
- The
prepare_data() function gains the
unused_fn argument of tidyr::pivot_wider() to
process any extra columns. The default is to keep all columns and use
the first value.
- Added the function
compare() to compare
tna models and weight matrices. This function produces an
object of class tna_comparison which has
print() and plot() methods.
- Added the function
plot_mosaic() which can be used to
produce mosaic plots of transition counts for frequency-based transition
network models and to contrast the state counts between groups.
- Fixed an issue with
plot.tna_communities() which now
checks for the availability of a particular community detection method
before plotting.
- Made several arguments in the plot methods of the package accessible
to the user.
tna 0.3.2
event2sequence() has been renamed to
prepare_data(). The function is now also more general and
can process more date formats.- Added a
method argument to bootstrap().
The new default option "stability" implements a
bootstrapping scheme where the edge weights are compared against a range
of “consistent” weights (see the documentation for details). The old
functionality can be accessed with
method = "threshold".
- Fixed an issue with
permutatation_test() when
x and y had a differing number of
columns.
- Community detection methods can now be selected using the
methods argument in communities().
- The
build_model() function has gained the argument
cols which can be used to subset the columns of the data
for stslist and data.frame inputs.
- Removed all
verbose arguments in favor of
options(rlib_message_verbosity = "quiet"). and
options(rlib_warning_verbosity = "quiet").
tna 0.3.1
- Fixed an issue when checking the validity of
character
type arguments.
- Improved the
bootstrap() function to determine edge
significance based on deviation from the observed value, rather than a
fixed threshold.
- Added a helper function
event2sequence() to parse event
data into sequence data.
tna 0.3.0
- Added support for grouped sequence data (clusters).
tna 0.2.0
- Added bootstrapping, permutation test, and centrality stability
functionalities.
tna 0.1.0