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calc_drmd()
and the accompanying
vignette("background-mortality")
.create_dummydata("pharmaonc")
provides a dataset based on pharmaverseadam::adsl()
and
pharmaverseadam::adrs_onco()
. This requires a dependency to
admiral
and pharmaverseadam
packages.compare_psm_likes()
, to
compare the total log-likelihood values for the patient-level dataset
after fitting PSM-simple and PSM-complex models to each combination of
endpoint distributions.Several minor changes to ready the package for CRAN.
calc_surv()
and calc_haz()
functions and calls to make more efficient use of flexsurv
objects.R CMD check
notes.Constraining calculations of restricted mean durations and the
accompanying vignette("background-mortality")
has been
reworked. The calculations using integral/continuous methods was not
reliable. Instead, calc_allrmds()
now has a
rmdmethod="disc"
option to allow for discretized
calculations for a given timestep (defaulting at one week). There is a
new collection of functions in discrmd.R
to provide for
this, as well as constrain_survprob()
function, which
constrains a vector of survival estimates at given times such that the
underlying hazard is at least as great as in an accompanying
lifetable.
This version provides additional functionality to the calculation of
restricted mean durations in calc_allrmds
. These estimates
may now be constrained by a lifetable (see calc_ltsurv
) and
discounting may now be applied. A vignette describing how to use this
functionality is provided:
vignette("background-mortality")
.
There are also some changes to _pkgdown.yml to avoid the theming changes imposed in the 0.6.0 release of bslib 0.6.0, with thanks to @nanxstats.
Merged some experimental functions into the main branch following the
version 0.1 release package. These functions provide analyses of the
constraints on mortality hazards and therefore survival implied by a
PSM. They are: calc_haz_psm()
,
calc_surv_psmpps()
, pickout_psmhaz
,
graph_psm_hazards()
, and
graph_psm_survs()
.
This is the initial release of the package, rather belatedly. The code dates to October 2023.
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.