A B C D E F G H I J K L M N O P R S T
mets-package | Analysis of Multivariate Events |
aalenfrailty | Aalen frailty model |
ace.family.design | For internal use |
addCums | Simulation of recurrent events data based on cumulative hazards |
alpha2kendall | For internal use |
alpha2spear | For internal use |
ascertained.pairs | For internal use |
back2timereg | Convert to timereg object |
base1cumhaz | rate of CRBSI for HPN patients of Copenhagen |
base44cumhaz | rate of Occlusion/Thrombosis complication for catheter of HPN patients of Copenhagen |
base4cumhaz | rate of Mechanical (hole/defect) complication for catheter of HPN patients of Copenhagen |
basecumhaz | Plotting the baslines of stratified Cox |
basehazplot.phreg | Plotting the baslines of stratified Cox |
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 |
Bootcovariancerecurrence | Estimation of covariance for bivariate recurrent events with terminal event |
BootcovariancerecurrenceS | Estimation of covariance for bivariate recurrent events with terminal event |
Bootphreg | Wild bootstrap for Cox PH regression |
bplot | Plotting the baslines of stratified Cox |
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 |
CCbinomial.twostage | For internal use |
cif | Cumulative incidence with robust standard errors |
cifreg | CIF regression |
ClaytonOakes | Clayton-Oakes model with piece-wise constant hazards |
cluster.index | Finds subjects related to same cluster |
coarse.clust | For internal use |
coefmat | For internal use |
concordance.cor | Concordance Computes concordance and casewise concordance |
concordanceCor | Concordance Computes concordance and casewise concordance |
concordanceTwinACE | For internal use |
concordanceTwostage | For internal use |
cor.cif | Cross-odds-ratio, OR or RR risk regression for competing risks |
corsim.prostate | For internal use |
corsim.prostate.random | For internal use |
count.history | Counts the number of previous events of two types for recurrent events processes |
covarianceRecurrent | Estimation of covariance for bivariate recurrent events with terminal event |
covarianceRecurrentS | Estimation of covariance for bivariate recurrent events with terminal event |
covfr | Predictions from proportional hazards model |
covfridstrata | Predictions from proportional hazards model |
covfridstrataCov | Predictions from proportional hazards model |
covIntH1dM1IntH2dM2 | Simulation of recurrent events data based on cumulative hazards |
cumContr | GOF for Cox covariates in PH regression |
cumsumidstratasum | Predictions from proportional hazards model |
cumsumidstratasumCov | Predictions from proportional hazards model |
cumsumstrata | Predictions from proportional hazards model |
cumsumstratasum | Predictions from proportional hazards model |
daggr | aggregating for for data frames |
daggregate | aggregating for for data frames |
Dbvn | Derivatives of the bivariate normal cumulative distribution function |
dby | Calculate summary statistics grouped by |
dby2 | Calculate summary statistics grouped by |
dby2<- | Calculate summary statistics grouped by |
dby<- | Calculate summary statistics grouped by |
dbyr | Calculate summary statistics grouped by |
dcor | summary, tables, and correlations for data frames |
dcount | summary, tables, and correlations for data frames |
dcut | Cutting, sorting, rm (removing), rename for data frames |
dcut<- | Cutting, sorting, rm (removing), rename for data frames |
ddrop | Cutting, sorting, rm (removing), rename for data frames |
ddrop<- | Cutting, sorting, rm (removing), rename for data frames |
dermalridges | Dermal ridges data (families) |
dermalridgesMZ | Dermal ridges data (monozygotic twins) |
deval | summary, tables, and correlations for data frames |
deval2 | summary, tables, and correlations for data frames |
dfactor | relev levels for data frames |
dfactor<- | relev levels for data frames |
dhead | list, head, print, tail |
divide.conquer | Split a data set and run function |
divide.conquer.timereg | Split a data set and run function from timereg and aggregate |
dkeep | Cutting, sorting, rm (removing), rename for data frames |
dkeep<- | Cutting, sorting, rm (removing), rename for data frames |
dlag | Lag operator |
dlag<- | Lag operator |
dlev | relev levels for data frames |
dlev<- | relev levels for data frames |
dlevel | relev levels for data frames |
dlevel<- | relev levels for data frames |
dlevels | relev levels for data frames |
dlist | list, head, print, tail |
dmean | summary, tables, and correlations for data frames |
dmeansd | summary, tables, and correlations for data frames |
dmvn | Multivariate normal distribution function |
dnames | Cutting, sorting, rm (removing), rename for data frames |
dnames<- | Cutting, sorting, rm (removing), rename for data frames |
dnumeric | relev levels for data frames |
dnumeric<- | relev levels for data frames |
dprint | list, head, print, tail |
dquantile | summary, tables, and correlations for data frames |
drcumhaz | Rate for leaving HPN program for patients of Copenhagen |
dreg | Regression for data frames with dutility call |
drelev | relev levels for data frames |
drelev<- | relev levels for data frames |
drelevel | relev levels for data frames |
drelevel<- | relev levels for data frames |
drename | Cutting, sorting, rm (removing), rename for data frames |
drename<- | Cutting, sorting, rm (removing), rename for data frames |
dreshape | Fast reshape |
drm | Cutting, sorting, rm (removing), rename for data frames |
drm<- | Cutting, sorting, rm (removing), rename for data frames |
dsample | Block sampling |
dscalar | summary, tables, and correlations for data frames |
dsd | summary, tables, and correlations for data frames |
dsort | Sort data frame |
dsort2 | Sort data frame |
dsort<- | Sort data frame |
dspline | Simple linear spline |
dspline<- | Simple linear spline |
dstr | summary, tables, and correlations for data frames |
dsubset | summary, tables, and correlations for data frames |
dsum | summary, tables, and correlations for data frames |
dsummary | summary, tables, and correlations for data frames |
dtab | tables for data frames |
dtable | tables for data frames |
dtail | list, head, print, tail |
dtrans | Transform that allows condition |
dtrans<- | Transform that allows condition |
dtransform | Transform that allows condition |
dtransform<- | Transform that allows condition |
dunique | Cutting, sorting, rm (removing), rename for data frames |
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.survival.twostage | Wrapper for easy fitting of Clayton-Oakes or bivariate Plackett models for bivariate survival data |
EVaddGam | Relative risk for additive gamma model |
eventpois | Extract survival estimates from lifetable analysis |
extendCums | Simulation of illness-death model |
familycluster.index | Finds all pairs within a cluster (family) |
familyclusterWithProbands.index | Finds all pairs within a cluster (famly) with the proband (case/control) |
fast.approx | Fast approximation |
fast.cluster | For internal use |
fast.pattern | Fast pattern |
fast.reshape | Fast reshape |
faster.reshape | For internal use |
folds | For internal use |
force.same.cens | For internal use |
ghaplos | ghaplos haplo-types for subjects of haploX data |
gof.phreg | GOF for Cox PH regression |
gofG.phreg | Stratified baseline graphical GOF test for Cox covariates in PH regression |
gofM.phreg | GOF for Cox covariates in PH regression |
gofZ.phreg | GOF for Cox covariates in PH regression |
Grandom.cif | Additive Random effects model for competing risks data for polygenetic modelling |
grouptable | For internal use |
hapfreqs | hapfreqs data set |
haplo.surv.discrete | Discrete time to event haplo type analysis |
haploX | haploX covariates and response for haplo survival discrete survival |
ilap | For internal use |
ipw | Inverse Probability of Censoring Weights |
ipw2 | Inverse Probability of Censoring Weights |
jumptimes | For internal use |
kendall.ClaytonOakes.twin.ace | For internal use |
kendall.normal.twin.ace | For internal use |
km | Kaplan-Meier with robust standard errors |
lifecourse | Life-course plot |
lifetable | Life table |
lifetable.formula | Life table |
lifetable.matrix | Life table |
LinSpline | Simple linear spline |
logitSurv | Proportional odds survival model |
loglikMVN | Multivariate normal distribution function |
make.pairwise.design | For internal use |
make.pairwise.design.competing | For internal use |
matdoubleindex | Predictions from proportional hazards model |
matplot.mets.twostage | For internal use |
mdi | Predictions from proportional hazards model |
mena | Menarche data set |
mets.options | Set global options for 'mets' |
migr | Migraine data |
mlogit | Multinomial regression based on phreg regression |
multcif | Multivariate Cumulative Incidence Function example data set |
nonparcuminc | For internal use |
np | np data set |
npc | For internal use |
object.defined | For internal use |
or.cif | Cross-odds-ratio, OR or RR risk regression for competing risks |
or2prob | Estimate parameters from odds-ratio |
p11.binomial.twostage.RV | For internal use |
pbvn | Multivariate normal distribution function |
pcif | Extract survival estimates from lifetable analysis |
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 |
plot.covariace.recurrent | Estimation of covariance for bivariate recurrent events with terminal event |
plotConfRegion | Plotting the baslines of stratified Cox |
plotcr | For internal use |
plotSurvd | Discrete time to event haplo type analysis |
pmvn | Multivariate normal distribution function |
ppch | Piecewise constant hazard distribution |
pred.cif.boot | Wild bootstrap for Cox PH regression |
predict.phreg | Predictions from proportional hazards model |
predictPairPlack | For internal use |
predictSurvd | Discrete time to event haplo type analysis |
print.casewise | prints Concordance test |
prob.exceed.recurrent | Estimation of probability of more that k events for recurrent events process |
prob.exceedBiRecurrent | Estimation of probability of more that k events for recurrent events process |
prob.exceedRecurrent | Estimation of probability of more that k events for recurrent events process |
procform | For internal use |
procform3 | For internal use |
procformdata | For internal use |
prt | Prostate data set |
random.cif | Random effects model for competing risks data |
randomDes | Twostage survival model for multivariate survival data |
readPhreg | Fast Cox PH regression |
recmarg | Fast recurrent marginal mean when death is possible |
recurrentMarginal | Fast recurrent marginal mean when death is possible |
recurrentMarginalgam | Simulation of recurrent events data based on cumulative hazards |
revcumsum | Predictions from proportional hazards model |
revcumsumidstratasum | Predictions from proportional hazards model |
revcumsumidstratasumCov | Predictions from proportional hazards model |
revcumsumstrata | Predictions from proportional hazards model |
revcumsumstratasum | Predictions from proportional hazards model |
rmvn | Multivariate normal distribution function |
robust.basehaz.phreg | Predictions from proportional hazards model |
robust.phreg | Fast Cox PH regression |
rpch | Piecewise constant hazard distribution |
rr.cif | Cross-odds-ratio, OR or RR risk regression for competing risks |
scoreMVN | Multivariate normal distribution function |
showfitsim | Simulation of recurrent events data based on cumulative hazards |
sim | For internal use |
simAalenFrailty | Simulate from the Aalen Frailty model |
simbinClaytonOakes.family.ace | For internal use |
simbinClaytonOakes.pairs | For internal use |
simbinClaytonOakes.twin.ace | For internal use |
simBinFam | For internal use |
simBinFam2 | For internal use |
simBinPlack | For internal use |
simClaytonOakes | Simulate from the Clayton-Oakes frailty model |
simClaytonOakes.family.ace | For internal use |
simClaytonOakes.twin.ace | For internal use |
simClaytonOakesLam | Simulate from the Clayton-Oakes frailty model |
simClaytonOakesWei | Simulate from the Clayton-Oakes frailty model |
simCompete.simple | For internal use |
simCompete.twin.ace | For internal use |
simCox | For internal use |
simFrailty.simple | For internal use |
simGlm | Discrete time to event haplo type analysis |
simMultistate | Simulation of illness-death model |
simnordic | For internal use |
simnordic.random | For internal use |
simRecurrent | Simulation of recurrent events data based on cumulative hazards |
simRecurrentGamma | Simulation of recurrent events data based on cumulative hazards |
simRecurrentII | Simulation of recurrent events data based on cumulative hazards II |
simRecurrentTS | Simulation of recurrent events data based on cumulative hazards: Two-stage model |
simSurvFam | For internal use |
slope.process | Estimates the casewise concordance based on Concordance and marginal estimate using timereg and performs test for independence |
squareintHdM | Simulation of recurrent events data based on cumulative hazards |
summary.cor | Summary for dependence models for competing risks |
sumstrata | Predictions from proportional hazards model |
surv.boxarea | For internal use |
survival.iterative | Survival model for multivariate survival data |
survival.twostage | Twostage survival model for multivariate survival data |
survival.twostage.fullse | Twostage survival model for multivariate survival data |
tailstrata | Predictions from proportional hazards model |
test.conc | Concordance test Compares two concordance estimates |
tetrachoric | Estimate parameters from odds-ratio |
tie.breaker | Fast recurrent marginal mean when death is possible |
twin.clustertrunc | Estimation of twostage model with cluster truncation in bivariate situation |
twin.polygen.design | For internal use |
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.aalen | Twostage survival model for multivariate survival data |
twostage.cox.aalen | Twostage survival model for multivariate survival data |
twostage.coxph | Twostage survival model for multivariate survival data |
twostage.fullse | For internal use |
twostage.phreg | Twostage survival model for multivariate survival data |
twostageMLE | Twostage survival model fitted by pseudo MLE |