| mse.BW | R Documentation | 
Helper function for optimize.mse.BW.
mse.BW(data, t0,tau,h, folds = 3,reps=2)
| data | n by 5 matrix. A data matrix where the first column is XL = min(TL, C) where TL is the time of the long term event, C is the censoring time, and the second column is DL =1*(TL<C), the third column is XS = min(TS, C) where TS is the time of the short term event, C is the censoring time, the fourth column is DS =1*(TS<C), and the fifth column is the covariate. These are the data used to calculate the estimated probability. | 
| t0 | the landmark time. | 
| tau | the residual survival time of interest. | 
| h | bandwidth | 
| folds | Number of folds wanted for K-fold cross-validation. Default is 3. | 
| reps | Number of repitions wanted of K-fold cross-validation. Default is 2. | 
mean of MSE
Layla Parast
Parast, Layla, Su-Chun Cheng, and Tianxi Cai. Incorporating short-term outcome information to predict long-term survival with discrete markers. Biometrical Journal 53.2 (2011): 294-307.
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