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Version 0.3.3 (2024-07-03)
- Fixed issue with msprep() that occurred with very long
vectors/mismatch between numeric id columns and integer id levels -
thanks to @fumi-github for fixing #26
- Fixed issue #16 inside msfit (dimension of hlp) - thanks to @MetzgerSK
- Fixed issue #27 with msfit() and vartype==“aalen”, similar to an
issue in previous version - thanks to @MetzgerSK
- Other fixes: #31 (dimensions preserved when transitions made by only
one individual), #30 (two-state model with vartype==“aalen” now works),
#13 (proper output returned for mssample() when output=‘data’),a minor
issue with vis.mirror.pt(), Cuminc() update (coerces data to data.frame,
and removes defunct failcode argument)
Version 0.3.2 (2021-11-08)
- Multi-state models can now be run accounting for population
mortality, by adding relsurv functionality, see Manevski et
al. (2021)
- plot.msfit() allows confidence intervals around the cumulative
hazards
- Various plotting fixed
- msprep() now accepts tibbles and data.tables
- Fixed issues #5 and #9 from github
Version 0.3.1 (2020-12-17)
- Added test for Markov assumption from Titman & Putter (2020) in
Biostatistics
- Added ggplot # Versions of plot.msfit and plot.probtrans, as well as
visualisation of multiple probtrans objects and mirrored plots, see the
vignette on visualisation
- Improved summary functions for msfit and probtrans objects
- Added help functions of transition matrices
- Fixed bug in msprep
- Oxygenized all R functions
Version 0.2.12 (2019-12-10)
- fixed bug in Cuminc caused by new survival (>=3) package
Version 0.2.11 (2018-04-06)
Version 0.2.10 (2016-12-03)
- Changed call to survfit in Cuminc function
- Changed to.trans2 function in misc.R
Version 0.2.9 (2016-02-28)
- Repaired small bug in msprep introduced in # Version 0.2.8, in case
of one covariate.
- Added LMAJ function to estimate non-parametrically transition
probabilities for possibly non-Markov multi-state models. LMAJ stands
for landmark Aalen-Johansen.
Version 0.2.8 (2015-12-05)
- crprep function. Object orientation is introduced. Function is
renamed to crprep.default. Code that calculates the weights has been
rewritten. It contains an extra argument “strata” that computes
value-specific weights. Fixed some errors that affect the way in which
the id and keep columns are presented. Default value of prec.factor
changed to 1000 (with 100, values may not be correct in case of ties).
Many changes in help file. Creation of the counting process data set in
function create.wData.omega.
- Added aidssi2 data set, which contains data for multi-state
analyses. Many changes in help file for aidssi.
- expand.covs function. Object orientation is introduced. Renamed to
expand.covs.mstate. expand.covs.default is used for competing risks data
sets.
- Repaired bug in events function. Rows corresponding to absorbing
states were empty. The numbers entering absorbing states are no longer
0.
- Added Tentry and time in resulting data frame of cutLMms
function.
- Warning added to ELOS, in case of negative predicted
proabilities.
- Dimension check for beta.state in mssample repaired.
- In msprep function, id and keep are now correctly handled.
- Time points for fixedhor prediction corrected in probtrans.
- In plot.probtrans, correct handling now of lty, lwd, col etc.
- Cuminc function is effectively made obsolete. For backward
compatibility, it has been “redefined” by calling survfit with
type=“mstate” and translating it to the output it used to have. Print,
plot and summary methods are the same as for survfit. Subsetting like
survfit objects is not possible. Some of the functionality of defining
events and failcodes has gone.
Version 0.2.7 (2014-05-29)
- Added function cutLMms (mirrored after cutLM from dynpred) that cuts
a multi- state data frame (object of type “msdata”) at a landmark time
point LM; administrative censoring at one common time point is also
supported
- Added function xsect that takes a cross-section at a particular time
point
- Added function ELOS that calculates expected length of stay (ELOS)
from a probtrans object
- Added disclaimers to the EBMT data sets
- Repaired a bug in the example of events()
- Made a much user-friendlier # Version of the covariance matrix (list
element K+1 with K states) of probtrans. NOTE: the dimension has changed
from nt x K^2 x K^2 (with nt the distinct transition time points) to K^2
x K^2 x (nt+1); the extra time point (time 0) is also present in the
column “time” of each of the data frames in [[1]] up to [[K]],
containing the transition probabilities and SE’s.
- plot.msfit now uses names rather than numbers for transitions (set
legend=1:K if you don’t want that (K is no of transitions))
- Changed default colors for plot.probtrans
- Fixed a bug in plot.probtrans that misplaced text with filled or
stacked probability plots when xlim has been set
- Fixed lwd bugs in plot.msfit and plot.probtrans
- Citation to Geskus, Biometrics 2010, updated
Version 0.2.6 (2010-12-04)
- Citation updated
- Function crprep added to implement the method of Geskus, Biometrics
2010
Version 0.2.5 (2010-10-12)
- Function events had been omitted from # Version 0.2.4; this has been
restored
- Error fixed in handling of xlim in plot.probtrans
- Reference to the mstate paper in Computer Methods and Programs in
Biomedicine updated
Version 0.2.4 (2010-05-12)
- The ebmt4 dataset has been adapted; recovery and adverse event are
abstracted. Simultaneous occurrences of recovery and adverse events are
removed; these have been adapted so that recoveries occur half a day
earlier. Also simultaneous relapse and death have been set to relapse,
the death status has been set to 0. A new variable recae has been
created, defined as the time at which both recovery and AE have been
obtained. The corresponding status variable recae.s is only 1 in case
the patient has experienced both recovery and AE.
- In probtrans, the argument direction now can take the values of
“forward” and “fixedhorizon”. The option “fixedhorizon” was previously
called “backward”.
- In the summary method for probtrans, a bug has beeen fixed. This
summary used to show head and again head, this has been changed to head
and tail.
- In msfit, the newdata argument is now first sorted according to
trans
- The function redrank now asks for two formulas, rather than two
character strings containing column names in the data for reduced rank
and full covariates
- xlim has been added as explicit argument to plot.probtrans
- Error fixed in handling last time point in msfit
Version 0.2.3 (2009-11-06)
- The results of calls to msfit and probtrans are now ‘msfit’ and
‘probtrans’ S3 objects
- Plot and summary methods for ‘msfit’ and ‘probtrans’ objects have
been added
- The result of call to msprep is now an ‘msdata’ S3 object
- The first argument of expand.covs and the result of a call to
expand.covs is now an ‘msdata’ object
- A print method for ‘msdata’ objects has been added
- A convenient function, transMat, to define transition matrices,
kindly provided by Steven McKinney, has been added
Version 0.2.2 (2009-09-15)
- Changed a small error in the vignette on page 9, where the written
text was incompatible with the R output of c3
- mstate had a call to “model.newframe” in msfit from the survival
package, which was removed in R # Version 2.9.2. In msfit,
survival:::model.newframe(Terms, newdata, response=FALSE) has been
replaced by model.frame(delete.response(Terms), newdata,
xlev=object$xlevels)
- Replaced the example in redrank by a much shorter one, the original
is now only mentioned in
Version 0.2.1 (2009-07-10)
- Added vignette showing how to do the analyses of Putter H, Fiocco M,
Geskus RB (2007). Tutorial in biostatistics: Competing risks and
multi-state models. Statistics in Medicine 26, 2389-2430. Usage:
vignette(“Tutorial”)
- Changed name of cuminc to Cuminc to avoid confusion with the cuminc
function of cmprsk
- Repaired bug in Cuminc that caused error when no events of certain
cause were present
- Repaired bug in Cuminc that caused error when only single cause of
failure was present
- Added option longnames to expand.covs to have the possibility of
shorter covariate names
- Implemented “aalen” option in msfit for models without
covariates
- Implemented “efron” method for ties in msfit; the coxph object that
is used as input for msfit may have used either “breslow” or “efron” as
method for ties. Previously only “breslow” was possible.
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.
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