# covarianceRecurrent: Estimation of covariance for bivariate recurrent events with... In mets: Analysis of Multivariate Event Times

 covarianceRecurrent R Documentation

## Estimation of covariance for bivariate recurrent events with terminal event

### Description

Estimation of probability of more that k events for recurrent events process where there is terminal event

### Usage

```covarianceRecurrent(
data,
type1,
type2,
status = "status",
death = "death",
start = "start",
stop = "stop",
id = "id",
names.count = "Count"
)
```

### Arguments

 `data` data-frame `type1` type of first event (code) related to status `type2` type of second event (code) related to status `status` name of status `death` name of death indicator `start` start stop call of Hist() of prodlim `stop` start stop call of Hist() of prodlim `id` id `names.count` name of count for number of previous event of different types, here generated by count.history()

Thomas Scheike

### References

Scheike, Eriksson, Tribler (2019) The mean, variance and correlation for bivariate recurrent events with a terminal event, JRSS-C

### Examples

```
########################################
## getting some data to work on
########################################
data(base1cumhaz)
data(base4cumhaz)
data(drcumhaz)
dr <- drcumhaz
base1 <- base1cumhaz
base4 <- base4cumhaz
rr <- simRecurrentII(1000,base1,cumhaz2=base4,death.cumhaz=dr)
rr <- count.history(rr)
rr\$strata <- 1
dtable(rr,~death+status)

covrp <- covarianceRecurrent(rr,1,2,status="status",death="death",
start="entry",stop="time",id="id",names.count="Count")
par(mfrow=c(1,3))
plot(covrp)

### with strata, each strata in matrix column, provides basis for fast Bootstrap
covrpS <- covarianceRecurrentS(rr,1,2,status="status",death="death",
start="entry",stop="time",strata="strata",id="id",names.count="Count")

```

mets documentation built on Jan. 17, 2023, 5:12 p.m.