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| mets-package | Analysis of Multivariate Events |
| aalenfrailty | Aalen frailty model |
| alpha2kendall | For internal use |
| alpha2spear | For internal use |
| back2timereg | Convert to timereg object |
| bicomprisk | Estimation of concordance in bivariate competing risks data |
| binomial.twostage | 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.time | 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. |
| biprobit | Bivariate Probit model |
| biprobit.time | Bivariate Probit model |
| biprobit.vector | Bivariate Probit model |
| blocksample | Block sampling |
| bptwin | Liability model for twin data |
| bptwin.time | Liability model for twin data |
| casewise | Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing |
| casewise.bin | Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence |
| casewise.test | Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence |
| ClaytonOakes | Clayton-Oakes model with piece-wise constant hazards |
| cluster.index | For internal use |
| coefmat | For internal use |
| concordance | Concordance Computes concordance and casewise concordance |
| cor.cif | Cross-odds-ratio, OR or RR risk regression for competing risks |
| corsim.prostate | For internal use |
| corsim.prostate.random | For internal use |
| Dbvn | Derivatives of the bivariate normal cumulative distribution function |
| dermalridges | Dermal ridges data (families) |
| dermalridgesMZ | Dermal ridges data (monozygotic twins) |
| divide.conquer | Split a data set and run function |
| divide.conquer.timereg | Split a data set and run function from timereg and aggregate |
| easy.binomial.twostage | Fits two-stage binomial for describing depdendence in binomial data using marginals that are on logistic form using the binomial.twostage funcion, but call is different and easier and the data manipulation is build into the function. Useful in particular for family design data. |
| easy.twostage | Fits two-stage model for describing depdendence in survival data using marginals that are on cox or aalen form using the twostage funcion, but call is different and easier and the data manipulation build into the function. Useful in particular for family design data. |
| Event | Event history object |
| eventpois | Extract survival estimates from lifetable analysis |
| familycluster.index | For internal use |
| fast.approx | Fast approximation |
| fast.pattern | Fast pattern |
| fast.reshape | Fast reshape Simple reshape/tranpose of data |
| faster.reshape | For internal use |
| folds | For internal use |
| Grandom.cif | Additive Random effects model for competing risks data for polygenetic modelling |
| grouptable | For internal use |
| ipw | Inverse Probability of Censoring Weights |
| ipw2 | Inverse Probability of Censoring Weights |
| jumptimes | For internal use |
| lifetable | Life table |
| lifetable.formula | Life table |
| lifetable.matrix | Life table |
| loglikMVN | For internal use |
| mena | Menarche data set |
| migr | Migraine data |
| multcif | Multivariate Cumulative Incidence Function example data set |
| nonparcuminc | For internal use |
| np | np data set |
| npc | For internal use |
| or.cif | Cross-odds-ratio, OR or RR risk regression for competing risks |
| or2prob | Estimate parameters from odds-ratio |
| pbvn | For internal use |
| phreg | Fast Cox PH regression |
| phreg.par | Fast Cox PH regression |
| piecewise.data | For internal use |
| piecewise.twostage | For internal use |
| plack.cif | plack Computes concordance for or.cif based model, that is Plackett random effects model |
| plack.cif2 | plack Computes concordance for or.cif based model, that is Plackett random effects model |
| plotcr | For internal use |
| pmvn | For internal use |
| printcasewisetest | prints Concordance test |
| prt | Prostate data set |
| random.cif | Random effects model for competing risks data |
| rbind.Event | Event history object |
| rr.cif | Cross-odds-ratio, OR or RR risk regression for competing risks |
| scoreMVN | For internal use |
| sim | For internal use |
| simAalenFrailty | Simulate from the Aalen Frailty model |
| simBinFam | For internal use |
| simBinFam2 | For internal use |
| simBinPlack | For internal use |
| simClaytonOakes | Simulate from the Clayton-Oakes frailty model |
| simClaytonOakesWei | Simulate from the Clayton-Oakes frailty model |
| simCox | For internal use |
| simnordic | For internal use |
| simnordic.random | For internal use |
| simSurvFam | For internal use |
| slope.process | Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence |
| summary.cor | Summary for dependence models for competing risks |
| surv.boxarea | For internal use |
| test.conc | Concordance test Compares two concordance estimates |
| tetrachoric | Estimate parameters from odds-ratio |
| twin.clustertrunc | Estimation of twostage model with cluster truncation in bivariate situation |
| twinbmi | BMI data set |
| twinlm | Classic twin model for quantitative traits |
| twinlm.strata | Classic twin model for quantitative traits |
| twinlm.time | Liability model for twin data |
| twinsim | Simulate twin data |
| twinstut | Stutter data set |
| twostage | Fits Clayton-Oakes or bivariate Plackett models for bivariate survival data using marginals that are on Cox or addtive form. If clusters contain more than two times, the algoritm uses a compososite likelihood based on the pairwise bivariate models. |