- Fixed issue 143 and return the data invisibly with
`plot.singleEventCB()`

when`type = "hr"`

. - Removed
`family = "gbm"`

as it wasn’t properly tested. - Added
`confint.singleEventCB`

to compute confidence bands for the risk (or survival) function. - Updated
`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.

- Fixed issue with
`plot.singleEventCB()`

when`visreg`

package is not loaded. - Improved error message when using
`family = "glmnet"`

with a single covariate. - Introduced
`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*

- The output of
`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. - Population time plots now use
`ggplot2::geom_ribbon()`

instead of`ggplot2::geom_segment()`

. - Population time functions now allow for more flexible plots with user defined arguments including sequentially adding base, case, and competing event series. These are now passed as a list to the
`*.params`

arguments. Several arguments are now deprecated. - Removed
`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.

- Major refactoring of
`absoluteRisk()`

. Trapezoidal rule to perform numerical integration for absolute risk estimation, providing significant speed up. - Users now have further control on the output of
`absoluteRisk()`

using the arguments`type`

and`addZero`

. - New plotting method for time-dependent hazard functions and hazard ratios. These include confidence intervals. See
`plot.singleEventCB()`

. The hazard function plot requires the`visreg`

package to be installed. - New plotting method for cumulative incidence and survival curves. See
`plot.absRiskCB()`

. - When
`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).- Added
`eprchd`

,`brcancer`

,`support`

and`simdat`

datasets to the package. - Implemented
`riskRegression::predictRisk()`

method for`singleEventCB`

objects.

- No longer importing the entire namespace of
`data.table`

and`ggplot2`

. - Moved from make the docs to pkgdown for package website.
- A warning is given when
`family="gbm"`

and nonlinear functions of time or interactions are specified. - Add
`singleEventCB`

class to object returned by`fitSmoothHazard()`

- Add
`absRiskCB`

class to object returned by`absoluteRisk()`

- Use
`glmnet::prepareX`

to convert factors into indicator variables

- Added a
`NEWS.md`

file to track changes to the package. - First release of the casebase package