New Features
formula
interface of node()
and node_td()
when using nodes of type "gaussian"
, "binomial"
or "poisson"
.node_aftreg()
, node_ahreg()
, node_poreg()
, node_ypreg()
, node_ehreg()
, node_zeroinfl()
and node_mixture()
.Enhancements
reference
argument to rbernoulli()
and rcategorical()
to make it easier to specify the reference category when coding the output as a factor variable.+.DAG
now checks whether the DAG
would become cyclic when adding a node()
and returns an error if it does.include_td_nodes
and include_root_nodes
arguments to as.igraph.DAG()
.n_cores
in the sim_n_datasets()
function to 1 from parallel::detectCores()-1
cens_dist
argument in the node_cox()
function is now allowed.as_two_cols
was added to the node_cox()
function to allow users to return only the time-to-event as a single column if no censoring is applied.Bug Fixes
data.frame
-like object with more than one column.exp()
call did not show up when the node was defined using the formula
argument.Documentation
Bug Fixes
print.DAG()
data.table
Enhancements
eval()
calls.remove_not_at_risk
argument to the sim2data()
function.t0_sort_dag
in sim_discrete_time()
from TRUE
to FALSE
for more consistency with sim_from_dag()
.Bug Fixes
sim2data()
with time-dependent nodes of type node_competing_events()
no longer results in an unwarranted error message."time"
in the time
argument of long2start_stop()
now works properly.New Features
node_identity()
function to allow users to directly calculate nodes as an R expression of other nodes without the need to define a new function.Documentation
Enhancements
output
argument to the rbernoulli()
function to allow different output formats.sort_dag
in sim_from_dag()
from TRUE
to FALSE
.coerce2factor
and coerce2numeric
arguments in rcategorical()
, node_multinomial()
and node_binomial()
to the output
argument for a more consistent syntax and easier usage.type
argument in node()
and node_td()
.layout
function in plot.DAG()
is now supported.Bug Fixes
node_fill
argument of the plot.DAG()
function is no longer being ignored if mark_td_nodes
was set to TRUE
.New Features
formula
argument. Standard formulas (without betas and intercepts) are still supported, but no longer mentioned in the documentation and will be deprecated in future versions.Documentation
node()
function works.General
simDAG
no longer lists data.table
under "Depends" in the description file. It is instead listed under "Imports" as recommended by the data.table
crewEnhancements
summary.DAG()
and summary.DAG.node()
overlap
argument to both long2start_stop()
and sim2data()
to directly create start-stop data with overlapping durations, as needed for some statistical modelstarget_event
and keep_only_first
arguments to sim2data()
and related functions, to allow direct transformation into model-ready datasetlong2start_stop()
function more computationally efficientBug Fixes
node_time_to_event()
function, which printed an error when not all arguments to prob_fun
were supplied, even when these arguments had default valuesprint.DAG.node()
which occurred when a time-to-event node with no parents was suppliedsim2data()
which lead to inconsistent results when event_duration=0
was used in one or more nodes of type "time_to_event" or "competing_events". This made me realize that event durations smaller than 1 make no sense. They are now no longer allowed and the default of the node types has been changed accordingly.formula
objects of child nodesNew Features
as.igraph.DAG()
method which extends the generic function as.igraph()
to conveniently parse DAG
objects to igraph
objectsas.data.table.simDT()
and as.data.frame.simDT()
for user convenienceDocumentation
Enhancements
node()
and node_td()
now support character vectors in the 'name' argument, allowing easy creation of multiple nodes with the same definitionBug Fixes
node_time_to_event()
function that lead to the immunity_duration
parameter being used incorrectly. Since events were still recorded correctly, this was only apparent when using save_states="all"
. Works correctly now.dag2matrix()
if the dag object contained only root nodes. In this case, a logical matrix was returned. Now it returns the correct numeric matrix.New Features
sim_n_datasets()
function to generate multiple datasets from a single dag object, possibly using multicore processingDocumentation