heart_failure_clinical <-read.csv(file.choose(),header = TRUE)
heart_failure_clinical
library(ipred)
library(survival)
library(rpart)
library(party)
Brier score in Model ipred
data("heart_failure_clinical", package = "ipred")
gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, nbagg = 299, coob=TRUE)
print(gbag)
Brier score in Model rpart (Survival Trees)
data("heart_failure_clinical", package = "ipred")
gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, model = rpart, nbagg = 299, coob=TRUE)
print(gbag)
Brier score in Model ctree (Survival Trees)
data("heart_failure_clinical", package = "ipred")
gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, model = ctree, nbagg = 299, coob=TRUE)
print(gbag)
Brier score in Model linear
data("heart_failure_clinical", package = "ipred")
gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, model = lm, nbagg = 299, coob=TRUE)
print(gbag)
function "rsurv" (Simulate Survival Data)
library("survival")
heart_failure_clinical <- rsurv(299, model= "C")
coxph(Surv(time,DEATH_EVENT) ~ ., data=heart_failure_clinical)
> library(ipred)
> library(survival)
> library(rpart)
> library(party)
> data("heart_failure_clinical", package = "ipred")
**Warning message:**
**In data("heart_failure_clinical", package = "ipred") :**
** data set ‘heart_failure_clinical’ not found**
> gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, nbagg = 299, coob=TRUE)
> print(gbag)
Bagging survival trees with 299 bootstrap replications
Call: bagging.data.frame(formula = Surv(time, DEATH_EVENT) ~ ., data = heart_failure_clinical,
nbagg = 299, coob = TRUE)
Out-of-bag estimate of Brier's score: 0.1452
> # Brier score in Model rpart (Survival Trees)
> data("heart_failure_clinical", package = "ipred")
**Warning message:**
**In data("heart_failure_clinical", package = "ipred") :**
** data set ‘heart_failure_clinical’ not found**
> gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, model = rpart, nbagg = 299, coob=TRUE)
> print(gbag)
Bagging survival trees with 299 bootstrap replications
Call: bagging.data.frame(formula = Surv(time, DEATH_EVENT) ~ ., data = heart_failure_clinical,
model = rpart, nbagg = 299, coob = TRUE)
Out-of-bag estimate of Brier's score: 0.1461
> # Brier score in Model ctree (Survival Trees)
> data("heart_failure_clinical", package = "ipred")
**Warning message:**
**In data("heart_failure_clinical", package = "ipred") :**
** data set ‘heart_failure_clinical’ not found**
> gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, model = ctree, nbagg = 299, coob=TRUE)
> print(gbag)
Bagging survival trees with 299 bootstrap replications
Call: bagging.data.frame(formula = Surv(time, DEATH_EVENT) ~ ., data = heart_failure_clinical,
model = ctree, nbagg = 299, coob = TRUE)
Out-of-bag estimate of Brier's score: 0.144
> # Brier score in Model linear
> data("heart_failure_clinical", package = "ipred")
**Warning message:**
**In data("heart_failure_clinical", package = "ipred") :**
** data set ‘heart_failure_clinical’ not found**
> gbag <- bagging(Surv(time,DEATH_EVENT) ~., data=heart_failure_clinical, model = lm, nbagg = 299, coob=TRUE)
> print(gbag)
Bagging survival trees with 299 bootstrap replications
Call: bagging.data.frame(formula = Surv(time, DEATH_EVENT) ~ ., data = heart_failure_clinical,
model = lm, nbagg = 299, coob = TRUE)
Out-of-bag estimate of Brier's score: 0.1446
> library("survival")
> heart_failure_clinical <- rsurv(299, model= "C")
> coxph(Surv(time,DEATH_EVENT) ~ ., data=heart_failure_clinical)
**Error in Surv(time, DEATH_EVENT) : object 'DEATH_EVENT' not found**
>