std::map. The last fix didn’t work under all
circumstances.std::mapnetinf() with log-normal model didn’t run
because of an index error in the argument check for
paramsnetinf_ used ceiling on integer which caused error on
Solarisnetinf()netinf() got another speed-up. After
the first edge, the computation time for each edge is reduced by the
factor number of nodes in the networkp_value_cutoff argument to netinf().params
argument parameters are initialized by choosing the midpoint between the
maximum possible parameter value and the minimum possible value. These
values are derived using the closed form MLE of the respective
parameter, derived from either the minimum possible diffusion times
(assuming a diffusion ‘chain’,
i.e. a -> b -> c -> ...) or the maximum possible
diffusion times (assuming a diffusion ‘fan’,
i.e. a -> b, a -> c, a -> d,...).n_edges can now specify either an absolute number of
edges, or a p-value cutoff in the interval (0, 1) for the
Vuong testnetinf. Instead of lambda, parameters are now
specified with a vector (or scalar depending on distribution)
params. For exponential and rayleigh distributions
params is just the rate / alpha parameter. For the
log-normal distribution params specifies mean and variance
(in that order). See the netinf() documentation for details
on specificaiton and parametrization (?netinf).netinf() now contains information on
the model, parameters and iterations as attributes. See the
documentation for details.policies dataset has been updated with over 600 new
policies from the SPID
database (access via data(policies)).trees = TRUE.drop_nodes() now allows to drop nodes from
all cascades in a cascade object.simulate_cascades()simulate_cascades() now supports passing of additional
(isolated in the diffusion network) nodes via the nodes
argument.simulate_cascades() now also supports the log-normal
distribution.simulate_cascades() with partial cascades provided,
it was possible that nodes experienced an event earlier than the last
event in the partial cascade. Now, the earliest event time is the last
observed event time in the partial cascade.netinf() now has a shiny progress bar!as.cascade is now completely removed (see release note
on version 1.1.0).subset_cascade_time) and by cascade id
(subset_cascade).as_cascade_long() and as_cascade_wide()
handle date input correctly now.as_cascade_wide() couldn’t handle data input of class
data.table.as.cascade is not bound
to the class of the data object anymore. In 1.0.0 wide format had to be
a matrix and long format had to be a dataframe. This did not make much
sense. as.cascade is now deprecated and replaced by two new
functions as_cascade_long and
as_cascade_wide.plot.cascade with option
label_nodes=FALSE were reversedFirst release