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simsurv 1.0.0 (9/1/2021)
New features
- Version number bumped to 1.0.0 to correspond to publication of JSS
paper.
simsurv 0.2.5 (22/2/2019)
Bug fixes
- Fix bug where infinite survival time were incorrectly returned as
NaN (due to: Inf * d = NaN when d = 0 is for a censored individual)
simsurv 0.2.4 (6/2/2019)
New features
- Allow negative shape parameters for the Gompertz distribution (note
that this can lead to infinite survival times, in which case the
survival time is set to ‘Inf’ and a warning is printed).
Bug fixes
- The simsurv() function documentation and the technical vignette have
been updated to better clarify the parameterisations for the parametric
distributions.
simsurv 0.2.3 (1/2/2019)
New features
- The
rootfun argument has been added. This allows the
user to apply any transformation to each side of the root finding
equation. The default is rootfun = log which corresponds to
uniroot solving -H(t) - log(u) = 0.
- The
rootsolver argument has been added. This allows the
user to choose between stats::uniroot or BB::dfsane for the root
finding.
simsurv 0.2.2 (18/5/2018)
New features
- The
uniroot function (called internally by
simsurv) now solves - H(t) - log(u) = 0 instead of
exp(-H(t)) - u = 0, i.e. it is on log scale.
simsurv 0.2.1 (16/5/2018)
Bug fixes
- The
interval argument of simsurv supports
a lower limit of zero (thanks to Alessandro Gasparini, @ellessenne).
simsurv 0.2.0 (6/3/2018)
New features
- Added technical and example usage vignettes
- Added user-specified cumulative hazard or log cumulative hazard
- Added analytical forms for the inverted survival function when
generating survival times from standard distributions (instead of using
numerical root finding). This has lead to about a 5-fold increase in
speed when simulating event times from standard parametric
distributions.
simsurv 0.1.0 (27/7/2017)
Initial CRAN release
NEWS Template
Version (Date)
Serious bug fixes
Bug fixes
New features
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.