NEWS.md
This is a Major new release
absoluteRisk()
now always contains the time variable in the first column, regardless of the length of time
. This will break earlier code that depended on the previous behaviour.ggplot2::geom_ribbon()
instead of ggplot2::geom_segment()
.*.params
arguments. Several arguments are now deprecated.popTimeExposure
class and the corresponding plot
method. popTime()
now returns an exposure
attribute which contains the name of the exposure variable in the dataset. The plot method for objects of class popTime
will use this exposure attribute to create exposure stratified population time plots.absoluteRisk()
. Trapezoidal rule to perform numerical integration for absolute risk estimation, providing significant speed up.absoluteRisk()
using the arguments type
and addZero
.plot.singleEventCB()
. The hazard function plot requires the visreg
package to be installed.plot.absRiskCB()
.time
is unspecified, absoluteRisk()
now computes the cumulative incidence at ntimes
equidistant points between 0 and the max failure time.absoluteRisk()
can now compute the cumulative incidence for a "typical"
covariate profile with newdata = "typical"
. “Typical” corresponds to the median for continuous variables and the mode for factors (each variable is summarised independently).eprchd
, brcancer
, support
and simdat
datasets to the package.riskRegression::predictRisk()
method for singleEventCB
objects.data.table
and ggplot2
.family="gbm"
and nonlinear functions of time or interactions are specified.singleEventCB
class to object returned by fitSmoothHazard()
absRiskCB
class to object returned by absoluteRisk()
glmnet::prepareX
to convert factors into indicator variables