accrualPlot (version 1.0.7)

accrual_predict: accrual_predict

Description

accrual_predict

Usage

accrual_predict(accrual_df, accrual_fit, target)

Value

Returns the predicted end date(s) or the predicted sample size(s).

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)
#predict n at a specific date
accrual_predict(accrual_df,accrual_model,target=as.Date("2020-11-01"))

#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)

 #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))
accrual_predict(accrual_df,accrual_model,target=as.Date("2020-11-01"))
# }