accrual_predict
Arguments
- accrual_df
accrual data frame produced by
accrual_create_df(optionally with by option as a list)- accrual_fit
linear model produced by accrual_linear_model, can be a list with the same length as accrual_df
- target
target sample size or date to predict end date or expected sample size, respectively. A single number or date, or a named vector with the same length as accrual_df (to add site-specific targets).
Details
Prediction of end date based on an accrual data frame produced by accrual_create_df,
a fitted regression model produced by accrual_linear_model and a target sample size.
Examples
# \donttest{
data(accrualdemo)
accrual_df<-accrual_create_df(accrualdemo$date)
accrual_model<-accrual_linear_model(accrual_df)
#predict date for a specific n
accrual_predict(accrual_df,accrual_model,target=300)
#> [1] "2020-10-24"
#predict n at a specific date
accrual_predict(accrual_df,accrual_model,target=as.Date("2020-11-01"))
#> [1] 331.3405
#different start and current date
accrual_df<-accrual_create_df(accrualdemo$date,start_date=as.Date("2020-07-09"),
current_date=as.Date("2020-10-15"))
accrual_model<-accrual_linear_model(accrual_df)
accrual_predict(accrual_df,accrual_model,target=300)
#> [1] "2020-10-30"
#accrual_df with by option
accrual_df<-accrual_create_df(accrualdemo$date,by=accrualdemo$site)
accrual_model<-accrual_linear_model(accrual_df)
accrual_predict(accrual_df,accrual_model,
target=c("Site 1"=160,"Site 2"=100,"Site 3"=40,"Overall"=300))
#> $`Site 1`
#> Site 1
#> "2020-10-19"
#>
#> $`Site 2`
#> Site 2
#> "2020-10-19"
#>
#> $`Site 3`
#> Site 3
#> "2020-11-11"
#>
#> $Overall
#> Overall
#> "2020-10-24"
#>
accrual_predict(accrual_df,accrual_model,target=as.Date("2020-11-01"))
#> $`Site 1`
#> [1] 185.8957
#>
#> $`Site 2`
#> [1] 117.6193
#>
#> $`Site 3`
#> [1] 34.44371
#>
#> $Overall
#> [1] 331.3405
#>
# }