NEWS
mets 1.3.3 (2023-12-04)
- Inverse Probability of treatment weighted Cox model:
phreg_IPTW
- Twostage randomization for survival outcome:
binregTSR
- Lu-Tsiatis efficient logrank test and dynamic censoring augmentation:
phreg_lt
mets 1.3.2 (2023-01-17)
- Extension of
recreg
(Ghosh-Lin model) to deal with composite outcomes.
- recurrent events regression with IPCW adjustment for fixed time point:
recregIPCW
- Efficient Ghosh-Lin modelling using dynamic regression augmentation.
mets 1.3.1 (2022-10-02)
mets 1.3.0 (2022-09-05)
- Efficient IPCW for binary data:
Effbinreg
- IPCW restricted mean survival regression:
resmeanIPCW
- Lin-Ying additive hazards model with fast robust standard errors:
aalenMets
- mediator weighted survival mediation with robust standard errors:
mediatorSurv
- Examples updated
dutility
function no longer casts warnings when handling formulas
- Efficient estimation of recurrent events mean:
recurrentMarginalAIPCW
- Average treatment effect for competing risks and binary data:
logitATE
, binregATE
- Recurrent events regression with IPCW adjustment (Ghosh-Lin model) :
recreg
mets 1.2.8.1 (2020-09-28)
mets 1.2.8 (2020-08-27)
- Augmentation of binomial regression model:
BinAugmentCifstrata
- Augmentation of Fine-Gray model:
FG_AugmentCifstrata
- Double Fine-Gray model for two causes.
- Likelihood evaluation of
mvn
uses Moore-Penrose pseudo-inverese (threshold
set via lava.options(itol=...)
- Vignette updates
mets 1.2.7.1 (2020-03-04)
mets 1.2.6 (2019-08-05)
- Cumulative incidence regression
cifreg
function
- Fine-Gray model with cloglog link of (1-F_1(t,x))
- Logit link
- Prototype of wildbootstrap for Cox regression with
- confidence bands for baseline
- with confidenence bands cumulative incidence for two cox's
- Piecewise constant hazard:
rpch
, ppch
- Test-version of multinomial regression model (via phreg):
mlogit
- Simulation for illness-death model:
simMultistate
- Haplotype modelling for discrete time-to-pregnancy models:
haplo.surv.discrete
- Interval censoring for discrete time logit-survival model:
interval.logitsurv.discrete
- Binomial Regression for competing risks data with censoring and one time point only:
binreg
mets 1.2.5 (2018-11-20)
- Updated predict function for
phreg
- with plotting functionality
- with robust standard errors
- New vignettes started
- phreg robust se's for marginal Cox model
- twostage survival model
- multivariate competing risks
- recurrent events
logitSurv
for fitting semiparametric proportional odds model
- gof
- robust standard errors for clustered case
- twostageMLE for fast twostage fitting for clustered survival data
with robust standard errors.
- standard errors for twostage models now also with uncertainty from Cox baseline
- cumulative score process test gof now also for marginal Cox models
mets 1.2.4 (2018-08-13)
- functions
km
(Kaplan-Meier) and cif
(cumulative incidence
probability) with robust standard errors.
- computation of probability of exceeding "k" events for recurrents
processs
- computation of probability of exceeding "k1" and "k2" events for
bivariate recurrents processseses
- dspline simple spline decomposition on a data frame
- rmvn, dmvn: RNG and density for multivariate normal distribution
with varying correlation coefficients.
mets 1.2.3.1 (2018-04-30)
- starting values updated for twinlm method
mets 1.2.3 (2018-02-09)
- twinlm now supports ordinal outcomes
- optimized strata calculations in phreg
- optimized robust standard errors in phreg
- weights and offsets in phreg
- weights argument added to lifetable
- gof of phreg with fast cumulative residuals (Lin, Wei, Ying)
- graphical gof of phreg
- recurrent events function for marginal mean with standard errors
- simulating recurrent events with possibly two recurrent events and death
- covariance calculation for recurrent events data and related bootstrap
mets 1.2.2 (2017-03-30)
- Vignettes updated
- Compatibility with lava version 1.5
mets 1.2.1 (2017-02-26)
- New documentation/vignettes
- Additional examples and unit tests
- lifecourse plot function: lifecourse
- block sampling function: dsample
mets 1.2.0
- Namespace cleaning (twostage)...
- Dependency on R>=3.3 radix algorithm
- Case-Control sampling for twostage model.
- Two-stage additive gamma survival model. Additive random effects for two-stage survival
model via pairwise composite likelihood. Simulation of family ace survival model. Function
for computing Kendall's tau for pairs with additive gamma random effects model via simulations.
- Two-stage additive gamma binomial model. Additive random effects for binomial model
via pairwise composite likelihood. Simulation of family ace model.
Function for computing pairwise concordance for for pairs with additive gamma random effects model.
- Updated divide.conquer
- Extra unit tests
- force.same.cens argument with IPWC methods
- New utility functions for data.frames
Data processing
- dsort
- dreshape
- dcut
- drm, drename, ddrop, dkeep, dsubset
- drelevel
- dlag
- dfactor, dnumeric
Data aggregation
- dby, dby2
- dscalar, deval, daggregate
- dmean, dsd, dsum, dquantile, dcor
- dtable, dcount
Data summaries
- dhead, dtail,
- dsummary,
- dprint, dlist, dlevels, dunique
mets 1.1.1 (2015-05-29)
- Support for left-truncation
mets 1.1.0 (2015-02-16)
- fast.approx with 'type' argument
- scoreMV
- lifetable updated and new survpois function (piecewise constant
hazard)
mets 1.0 (2014-11-18)
- New functions biprobit.time, binomial.twostage.time.
Automatically samples time points (approximately equidistant) up to
last double jump time. Intial support for left truncation.
contrast argument added to biprobit.time.
- ipw removed (from namespace)
- biprobit optimized for tabular data (non-continuous
covariates). Regression design for dependence parameter (tetrachoric
correlation) now possible.
- predict method implemented for biprobit
- arc-sinus transformation used for probability estimates
- updated output of bptwin with relative recurrence risk + log-OR estimates
- iid method for bptwin (influence function)
- survival probabilities and start and end of intervals added to
lifetable
- new function 'jumptimes' for extracting jump times and possibly sample (equidistant)
- fast.pattern updated to handle more than two categories
- demos added to the mets package
- divide.conquer function, folds function
mets 0.2.8 (2014-05-13)
- Normal orthant probabilities via 'pmvn' (vectorized)
- Parametric proportional hazards models via 'phreg.par'
- twinlm.time function for censored twin data. Wraps the 'ipw'
function that now also supports parametric survival models via
phreg.par. 'grouptable' for tabulating twin-data.
- Relative recurrence risk ratios now reported with bptwin/twinlm.
- Grandom.cif more stable
mets 0.2.7 (2014-02-20)
- Adapted to changes in 'timereg::comp.risk'
- cluster.index with 'mat' argument for stacking rows of a matrix
according to cluster-variable
- New lava-estimator: 'normal', for ordinal data (cumulative probit)
- fast.reshape more robust. Now also supports 'varying arguments of
the type 'varying=-c(...)' choosing everything except '...'.
mets 0.2.6 (2013-12-17)
- C++ source code cleanup
- Optimization of fast.reshape
mets 0.2.5 (2013-12-16)
- New datasets: dermalridges, dermalridgesMZ
- Grouped analysis updated in twinlm (e.g. sex limitation model)
- Confidence limits for genetic and environmental effects are now
based on standard (symmetric) Wald confidence limits. (use the 'transform'
argument of the summary method to apply logit-transform)
- Improved output in twinlm
mets 0.2.4 (2013-07-13)
- fast.reshape :labelnum option for both wide and long format (see
example)
- Compilation flags removed from Makevars files
mets 0.2.3 (2013-05-22)
- fast.reshape bug-fix (column names)
mets 0.2.2 (2013-05-21)
- Updated twinlm. bptwin: OS analysis
- Better starting values for twinlm
- Fixed claytonaokes.cpp
- New fast cox ph regression: phreg
- Updated two-stage estimator
- Improved fast.reshape
mets 0.2.1 (2013-04-24)
mets 0.1.4
- Fixed cor.cpp
- New datasets: twinstut, twinbmi, prtsim
mets 0.1.3
- twinlm moved to mets package, and wraps the bptwin function
mets 0.1.2
- code clean-up and minor bug-fixes
mets 0.1.1
- Random effects CIF models moved from MultiComp to mets
- new data sets: np, multcif
- Documentation via roxygen2
- bug fixes
mets 0.1.0
- Initialization of the new package 'mets' with implementation of the
Clayton-Oakes model with piecewise constant marginal hazards, and
the bivariate probit random effects model (Liability model) for
twin-data.