This package is considered a duplicate. The official version of this package is found at:https://kkholst.r-universe.dev/mets

Package: mets 1.3.10

Klaus K. Holst

mets: Analysis of Multivariate Event Times

Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Authors:Klaus K. Holst [aut, cre], Thomas Scheike [aut]

mets_1.3.10.tar.gz
mets_1.3.10.tar.gz(r-4.7-arm64)mets_1.3.10.tar.gz(r-4.7-x86_64)mets_1.3.10.tar.gz(r-4.6-arm64)mets_1.3.10.tar.gz(r-4.6-x86_64)
mets_1.3.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mets/json (API)
NEWS

# Install 'mets' in R:

install.packages('mets', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kkholst/mets/issues

Pkgdown/docs site:https://kkholst.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

ACTG175 - ACTG175, block randomized study from speff2trial package
bmt - The Bone Marrow Transplant Data
calgb8923 - CALGB 8923, twostage randomization SMART design
CPH_HPN_CRBSI - Rates for HPN program for patients of Copenhagen Cohort
dermalridges - Dermal ridges data
dermalridgesMZ - Dermal ridges data
diabetes - The Diabetic Retinopathy Data
haplo - Haplo fun data
hfactioncpx12 - Hfaction, subset of block randomized study HF-ACtion from WA package
melanoma - The Melanoma Survival Data
mena - Menarche data set
migr - Migraine data
multcif - Multivariate Cumulative Incidence Function example data set
np - Np data set
prt - Prostate data set
sTRACE - The TRACE study group of myocardial infarction
TRACE - The TRACE study group of myocardial infarction
ttpd - Ttpd discrete survival data on interval form
tTRACE - The TRACE study group of myocardial infarction
twinbmi - BMI data set
twinstut - Stutter data set

On CRAN:

openblas cpp

9.63 score 1 stars 54 packages 338 scripts 18k downloads 306 exports 19 dependencies

Last updated from:cb01a56144. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	357
linux-devel-x86_64	OK	387
source / vignettes	OK	543
linux-release-arm64	OK	376
linux-release-x86_64	OK	397
wasm-release	OK	203

Exports:aalenMets ace_family_design alpha2kendall alpha2spear ascertained_pairs bicomprisk bicompriskData binomial_twostage binomial_twostage_time binreg binregATE binregCasewise binregG binregRatio binregt binregTSR biprobit biprobit.time biprobit.vector blocksample BootmediatorSurv bplot bptwin bptwin.time casewise casewise_bin cif cif_yearslost cifreg cifregFG ClaytonOakes cluster cluster_index cluster.index coarse_clust concordanceCor concordanceTwinACE concordanceTwostage conftype cor_cif corsim_prostate_random count_history countID cpred cumoddsreg cumsumstrata daggr daggregate Dbvn dby dby<-dby2 dby2<-dbyr dcor dcount dcut dcut<-ddrop ddrop<-deval deval2 dfactor dfactor<-dhead diffstrata dInterval divide_conquer dkeep dkeep<-dlag dlag<-dlev dlevel dlevels dlist dmean dmeansd dmvn dnames dnames<-dnumeric dnumeric<-dprint dquantile dreg drelev drelev<-drelevel drelevel<-drename drename<-dreshape drm drm<-drop.specials dsample dscalar dsd dsort dsort<-dsort2 dspline dspline<-dstr dsubset dsum dsummary dtab dtable dtail dtrans dtrans<-dtransform dtransform<-dunique estimate Event event_split event_split2 eventpois extendCums familycluster_index familyclusterWithProbands_index fast.approx fast.cluster fast.pattern fast.reshape faster.reshape FGprediid folds force_same_cens force.same.cens glm_IPTW GLprediid gof gofFG gofM_phreg gofZ_phreg Grandom_cif Grandom.cif grouptable haplo_surv_discrete IC iid iidBaseline ilap indexstrata indexstratarightR Interval interval_logitsurv_discrete invsubdist ipw ipw2 jumptimes kendall_ClaytonOakes_twin_ace kendall_normal_twin_ace kendall.ClaytonOakes.twin.ace km kmplot kumarsim kumarsimRCT lifecourse lifetable lin_approx LinSpline logitATE logitIPCW logitIPCWATE logitSurv loglikMVN logrankRecurrentBase make_pairwise_design marks matdoubleindex matplot.mets.twostage mdi mediatorSurv medweight mets.options mlogit mystrata mystrata2index nonparcuminc normalATE npc or_cif or2prob p11_binomial_twostage_RV pairRisk pbvn pcif phreg phreg_IPTW phreg_rct phreg_weibull phreg.par piecewise_data piecewise_twostage plack_cif plack.cif2 plot_twin plotConfregion plotConfRegion plotConfRegionSE plotcr plotSurvd pmvn predictCumhaz predictGLM predictlogitSurvd predictPairPlack predictSurvd prob_exceed_recurrent random_cif random.cif randomDes ratioATE rchaz rchazl rcrisk recreg recregIPCW recurrent_marginal recurrent_marginalAIPCW recurrentMarginal recurrentMarginalPhreg resmean_phreg resmeanATE resmeanIPCW revcumsum revcumsumstrata rmst_phreg rmstATE rmstIPCW rmtlRatio rmvn robust_phreg robust.basehaz.phreg rr_cif rweibullcox scalecumhaz scoreMVN sim_binClaytonOakes_family_ace sim_binClaytonOakes_pairs sim_binClaytonOakes_twin_ace sim_BinFam sim_BinFam2 sim_BinPlack sim_bptwin sim_cif sim_cifs sim_ClaytonOakes sim_ClaytonOakes_family_ace sim_ClaytonOakes_twin_ace sim_ClaytonOakesLam sim_ClaytonOakesWei sim_Compete_simple sim_Compete_twin_ace sim_Frailty_simple sim_GLcox sim_multistate sim_multistateII sim_nordic_random sim_nordictwin sim_phreg sim_phregs sim_recurrent sim_recurrent_list sim_recurrent_ts sim_recurrentII sim_recurrentTS sim_SurvFam simlogitSurvd simrchaz simul_cifs strata subdist summarybase.phreg summaryGLM summaryTimeobject sumstrata Surv surv_boxarea survival_twostage survival.twostage survivalG survivalGtime test_casewise test_conc test_logrankRecurrent test_marginalMean tetrachoric tie_breaker twin_polygen_design twin.polygen.design twinlm twinlm.strata twinlm.time twinsim twostage twostageMLE twostageREC vecAllStrata WA_recurrent WA_reg

Dependencies:cli codetools digest future future.apply globals lattice lava listenv Matrix mvtnorm numDeriv parallelly progressr Rcpp RcppArmadillo SQUAREM survival timereg

A practical guide to Human Genetics with Lifetime Data

Klaus Holst & Thomas Scheike

Rendered fromtime-to-event-family-studies-arev.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2021-09-06

Analysis of bivariate binomial data: Twin analysis

Klaus Holst & Thomas Scheike

Rendered frombinomial-twin.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

Analysis of multivariate binomial data: family analysis

Klaus Holst & Thomas Scheike

Rendered frombinomial-family.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

Analysis of multivariate survival data

Klaus Holst & Thomas Scheike

Rendered fromtwostage-survival.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival data

Klaus Holst & Thomas Scheike

Rendered fromsurvival-ate.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2023-01-17

Average treatment effect (ATE) for Competing risks and binary outcomes

Klaus Holst & Thomas Scheike

Rendered frombinreg-ate.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2021-09-06

Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks

Klaus Holst & Thomas Scheike

Rendered fromrmst-ate.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2023-01-17

Binomial Regression for Survival and Competing Risks Data

Klaus Holst & Thomas Scheike

Rendered frombinreg.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2021-09-06

Cooking Survival Data: 5-Minute Recipes

Klaus Holst & Thomas Scheike

Rendered fromcooking-survival-data.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2025-01-11

Cumulative Incidence Regression

Klaus Holst & Thomas Scheike

Rendered fromcifreg.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

Discrete Interval Censored Survival Models

Klaus Holst & Thomas Scheike

Rendered frominterval-discrete-survival.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2021-09-06

dUtility data-frame manipulations

Klaus Holst & Thomas Scheike

Rendered frombasic-dutils.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

GEE cluster standard errors and predictions for glm objects

Klaus Holst & Thomas Scheike

Rendered fromglm-utility.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2023-12-05

Haplotype Discrete Survival Models

Klaus Holst & Thomas Scheike

Rendered fromhaplo-discrete-ttp.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

IPCW Cumulative Cost

Klaus Holst & Thomas Scheike

Rendered fromcumulative-cost.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2026-01-11

Marginal modelling of clustered survival data

Klaus Holst & Thomas Scheike

Rendered frommarginal-cox.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

Mediation Analysis for survival data

Klaus Holst & Thomas Scheike

Rendered frommediation-survival.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2022-09-05

Randomization for Cox Type rate models

Klaus Holst & Thomas Scheike

Rendered fromphreg_rct.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2025-01-11

Recurrent events

Klaus Holst & Thomas Scheike

Rendered fromrecurrent-events.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

Twin models

Klaus Holst & Thomas Scheike

Rendered fromquantitative-twin.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2020-08-27

Two-Stage Randomization for Competing risks and Survival outcomes

Klaus Holst & Thomas Scheike

Rendered frombinreg-TRS.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2025-01-11

While Alive estimands for Recurrent Events

Klaus Holst & Thomas Scheike

Rendered fromwhile-alive.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-05-23
Started: 2025-01-11

Citation

Readme and manuals

Help Manual

Help page	Topics
Fast Additive Hazards Model with Robust Standard Errors	aalenMets
ACTG175, block randomized study from speff2trial package	ACTG175
Estimation of Concordance in Bivariate Competing Risks Data	bicomprisk bicompriskData
Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data using marginals that are on logistic form. If clusters contain more than two times, the algoritm uses a compososite likelihood based on all pairwise bivariate models.	binomial_twostage binomial_twostage_time
Binomial Regression for Censored Competing Risks Data	binreg binregt logitIPCW
Average Treatment Effect for Censored Competing Risks Data using Binomial Regression	binregATE logitATE logitIPCWATE normalATE
Estimate Casewise Concordance Using Binomial Regression	binregCasewise
G-Estimator for Binomial Regression Model (Standardized Estimates)	binregG
Percentage of Years Lost Due to a Cause Regression	binregRatio rmtlRatio
Two-Stage Randomization for Survival or Competing Risks Data	binregTSR
Bivariate Probit model	biprobit biprobit.time biprobit.vector
Block sampling	blocksample dsample
The Bone Marrow Transplant Data	bmt
Liability model for twin data	bptwin bptwin.time twinlm.time
CALGB 8923, twostage randomization SMART design	calgb8923
Estimate Casewise Concordance from prodlim Objects	casewise
Casewise Concordance from Concordant/Discordant Counts	casewise_bin
Cumulative Incidence with Robust Standard Errors	cif
Restricted Mean Time Lost for Competing Risks	cif_yearslost
Cumulative Incidence Function (CIF) Regression	cifreg diffstrata FGprediid gofFG indexstratarightR vecAllStrata
Fine-Gray Cumulative Incidence Function Regression	cifregFG
Clayton-Oakes model with piece-wise constant hazards	ClaytonOakes
Finds subjects related to same cluster	cluster.index cluster_index countID mystrata mystrata2index pairRisk
Coarsen Cluster Identifiers	coarse_clust
Concordance Computes concordance and casewise concordance	concordance.cor concordanceCor
Cross-odds-ratio, OR or RR risk regression for competing risks	cor_cif or.cif rr.cif
Compute cumulative event counts as time-dependent covariates	count_history
Rates for HPN program for patients of Copenhagen Cohort	CPH_HPN_CRBSI
Cumulative Odds Regression for Discrete Time Data	cumoddsreg
aggregating for for data frames	daggr daggregate
Derivatives of the bivariate normal cumulative distribution function	Dbvn
Calculate summary statistics grouped by	dby dby2 dby2<- dby<- dbyr
summary, tables, and correlations for data frames	dcor dcount deval deval2 dmean dmeansd dquantile dscalar dsd dstr dsubset dsum dsummary
Cutting, sorting, rm (removing), rename for data frames	dcut dcut<- ddrop ddrop<- dkeep dkeep<- dnames dnames<- drename drename<- drm drm<- dunique
Dermal ridges data (families)	dermalridges
Dermal ridges data (monozygotic twins)	dermalridgesMZ
The Diabetic Retinopathy Data	diabetes
Split a data set and run function	divide_conquer
Lag operator	dlag dlag<-
list, head, print, tail	dhead dlist dprint dtail
Regression for data frames with dutility call	dreg
relev levels for data frames	dfactor dfactor<- dlev dlev<- dlevel dlevel<- dlevels dnumeric dnumeric<- drelev drelev<- drelevel drelevel<-
Remove Special Terms from a Formula	drop.specials
Sort data frame	dsort dsort2 dsort<-
Simple linear spline	dspline dspline<-
tables for data frames	dtab dtable
Transform that allows condition	dtrans dtrans<- dtransform dtransform<-
Event history object	as.character.Event as.matrix.Event Event format.Event print.Event rbind.Event summary.Event [.Event
event_split (SurvSplit).	event_split
Event split with two time-scales, time and gaptime	event_split2
Extract survival estimates from lifetable analysis	eventpois pcif
Extend Cumulative Hazard Functions to Common Time Range	extendCums
Finds all pairs within a cluster (family)	familycluster_index
Finds all pairs within a cluster (famly) with the proband (case/control)	familyclusterWithProbands_index
Fast approximation	cpred fast.approx indexstrata predictCumhaz
Fast Cluster Index Conversion	fast.cluster
Fast pattern	fast.pattern
Fast reshape	dreshape fast.reshape
Fast Reshape from Long to Wide Format	faster.reshape
Generate Random Fold Indices for Cross-Validation	folds
Force Same Censoring Within Clusters	force.same.cens force_same_cens
IPTW GLM, Inverse Probabibilty of Treatment Weighted GLM	glm_IPTW
Goodness-of-Fit for Cox PH Regression (Proportionality)	gof.phreg
Goodness-of-Fit for Cox Covariates (Model Matrix)	gofM_phreg
Goodness-of-Fit for Cox Covariates (Linearity)	cumContr gofZ_phreg
Additive Random effects model for competing risks data for polygenetic modelling	Grandom_cif
Create Group Contingency Table from Clustered Data	grouptable
haplo fun data	haplo
Discrete Time-to-Event Haplotype Analysis	haplo_surv_discrete
hfaction, subset of block randomized study HF-ACtion from WA package	hfactioncpx12
Influence Functions for phreg objects	IC.phreg
Influence Functions or IID Decomposition of Baseline	iidBaseline
Inverse Laplace Transform Helper	ilap
Discrete Time-to-Event Analysis with Interval Censoring	dInterval Interval interval_logitsurv_discrete plotSurvd predictlogitSurvd predictSurvd
Inverse Probability of Censoring Weights	ipw
Inverse Probability of Censoring Weights	ipw2
Extract Event (Jump) Times	jumptimes
Kaplan-Meier with Robust Standard Errors	km
Life-course plot	lifecourse
Life table	lifetable lifetable.formula lifetable.matrix
Simple linear spline	LinSpline
Proportional Odds Survival Model	logitSurv
Mediation analysis in survival context	BootmediatorSurv mediatorSurv
Computes mediation weights	medweight
The Melanoma Survival Data	melanoma
Menarche data set	mena
Set global options for 'mets'	mets.options
Migraine data	migr
Multinomial Regression Based on phreg	mlogit predict
Multivariate Cumulative Incidence Function example data set	multcif
np data set	np
Concordance Probability from Twostage Model	ace_family_design ascertained_pairs concordanceTwinACE concordanceTwostage kendall.ClaytonOakes.twin.ace kendall_ClaytonOakes_twin_ace kendall_normal_twin_ace make_pairwise_design p11.binomial.twostage.RV p11_binomial_twostage_RV twin-design twin.polygen.design twin_polygen_design
Fast Cox Proportional Hazards Regression	phreg robust_phreg
IPTW Cox Regression (Inverse Probability of Treatment Weighted)	phreg_IPTW
Lu-Tsiatis More Efficient Log-Rank for Randomized Studies with Baseline Covariates	phreg_rct
Weibull-Cox regression	phreg.par phreg_weibull
plack Computes concordance for or.cif based model, that is Plackett random effects model	plack.cif2 plack_cif
Scatter plot function	plot_twin
Plotting the baselines of stratified Cox	basecumhaz baseplot bplot kmplot plot.phreg plotConfRegion plotConfregion plotConfRegionSE plotstrata
Multivariate normal distribution function	dmvn loglikMVN pbvn pmvn rmvn scoreMVN
Predictions from Multinomial Regression	predict.mlogit
Predictions from Proportional Hazards Model	predict.phreg
prints Concordance test	print.casewise
Estimate the probability of exceeding k recurrent events by time t	prob_exceed_recurrent
Prostate data set	prt
Random effects model for competing risks data	random_cif
Ratio of Average Treatment Effects	ratioATE
Simulation of Piecewise Constant Hazard Model (Cox)	lin_approx rchaz sim_rchaz
Multiple Cause Piecewise Constant Hazard Simulation	rchazl
Simulation of Piecewise constant hazard models with two causes (Cox).	rcrisk
Recurrent Events Regression with Terminal Event	GLprediid IIDrecreg marks recreg scalecumhaz
IPCW Estimator for Recurrent Events	recregIPCW
Marginal mean estimation for recurrent events with a terminal event	iidRecurrent recurrentMarginal recurrentMarginalPhreg recurrent_marginal recurrent_marginalAIPCW
Restricted Mean for Stratified Kaplan-Meier or Cox Model	resmean_phreg rmst_phreg
Average Treatment Effect for Restricted Mean Time	resmeanATE rmstATE
Restricted IPCW Mean for Censored Survival Data	resmeanIPCW rmstIPCW
Robust Baseline Hazard Standard Errors	conftype robust.basehaz.phreg summarybase.phreg
Non-parametric Cumulative Incidence Functions	cif-nonpar Grandom.cif nonparcuminc npc or_cif plotcr predictPairPlack random.cif rr_cif
Simulate observations from a Weibull distribution	rweibullcox
Simulation of Output from Cumulative Incidence Regression Model	invsubdist sim_cif sim_cifs sim_subdist subdist
Simulate from the Clayton-Oakes frailty model	sim_ClaytonOakes sim_ClaytonOakesLam
Simulate from the Clayton-Oakes frailty model	sim_ClaytonOakesWei
Simulation of Two-Stage Recurrent Events Data	sim_GLcox
Simulation of Illness-Death Model	sim_multistate
Illness-Death Competing Risks with Two Causes of Death	sim_multistateII
Simulation of Output from Cox Model	sim_phreg
Simulation of Cause-Specific Cox Models	sim_phregs
Simulate recurrent events with a single event type and a terminal event	sim_recurrent
Simulate recurrent events from a two-stage Cox or Ghosh-Lin model	sim_recurrent_ts
Simulate recurrent events with two event types and a terminal event	sim_recurrentII sim_recurrent_list
Simulate recurrent events from a two-stage model with structured gamma frailties	sim_recurrentTS
Stratified Cumulative and Summary Operations	cumsumstrata matdoubleindex mdi revcumsum revcumsumstrata strata-numeric sumstrata
Summary for dependence models for competing risks	summary.cor
Reporting OR (exp(coef)) from glm with binomial link and glm predictions	predictGLM summaryGLM
Summarize a Time-Varying Estimate with Confidence Bands	summaryTimeobject
Bivariate Survival Data on Rectangular Regions	surv_boxarea
Twostage Survival Model for Multivariate Survival Data	randomDes readmargsurv survival_twostage twostage_aalen twostage_cox.aalen twostage_coxph twostage_phreg
Survival Twostage Helpers	alpha2kendall alpha2spear matplot.mets.twostage piecewise_data piecewise_twostage survival-helpers survival.twostage
G-Estimator for Cox and Fine-Gray Models	survivalG survivalGtime
Test for Independence Using Casewise Concordance	test_casewise
Compare Two Concordance Estimates	test_conc
Logrank-type test for comparing recurrent event marginal means between groups	logrankRecurrentBase test_logrankRecurrent
Pepe-Mori Test for Marginal Mean Comparison	test_marginalMean
Estimate parameters from odds-ratio	or2prob tetrachoric
Break ties in event times for recurrent event data	tie_breaker
The TRACE study group of myocardial infarction	sTRACE TRACE tTRACE
ttpd discrete survival data on interval form	ttpd
BMI data set	twinbmi
Classic twin model for quantitative traits	twinlm twinlm.strata
Simulate twin data	twinsim
Stutter data set	twinstut
Twostage Survival Model Fitted by Pseudo MLE	twostageMLE
Fitting of Two-Stage Recurrent Events Random Effects Model	twostageREC
While-Alive Estimands for Recurrent Events	WA_recurrent
While-Alive Regression for Recurrent Events	WA_reg

Package: mets 1.3.10

mets: Analysis of Multivariate Event Times

A practical guide to Human Genetics with Lifetime Data

Analysis of bivariate binomial data: Twin analysis

Analysis of multivariate binomial data: family analysis

Analysis of multivariate survival data

G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival data

Average treatment effect (ATE) for Competing risks and binary outcomes

Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks

Binomial Regression for Survival and Competing Risks Data

Cooking Survival Data: 5-Minute Recipes

Cumulative Incidence Regression

Discrete Interval Censored Survival Models

dUtility data-frame manipulations

GEE cluster standard errors and predictions for glm objects

Haplotype Discrete Survival Models

IPCW Cumulative Cost

Marginal modelling of clustered survival data

Mediation Analysis for survival data

Randomization for Cox Type rate models

Recurrent events

Twin models

Two-Stage Randomization for Competing risks and Survival outcomes

While Alive estimands for Recurrent Events

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)