The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
plot.singleEventCB()
when type = "hr"
.family = "gbm"
as it wasn’t properly
tested.confint.singleEventCB
to compute confidence bands
for the risk (or survival) function.ERSPC
data so that the exposure variable is
categorical. This may break previous code explicitly making this
conversion, or somehow relying on the numerical coding.plot.singleEventCB()
when
visreg
package is not loaded.family = "glmnet"
with a single covariate.summary
method for objects of class
singleEventCB
, and improved the output of
print
by displaying the appropriate function call.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
variablesNEWS.md
file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.