UNEQUALCENSIMPUTECOXMH: UNEQUALCENSIMPUTECOXMH
In lbeesleyBIOSTAT/MultiCure: EM Algorithms for Fitting Multistate Cure Models

The function UNEQUALCENSIMPUTECOXMH will perform an imputation algorithm to handle unequal follow-up for recurrence and death. This function can be applied when we assume COX baseline hazards. This function performs imputation using a Metropolis-Hastings algorithm. The proposal distribution is Uniform with bounds such that the target kernel is nonzero.

1	UNEQUALCENSIMPUTECOXMH(datWIDE, beta, alpha, ImputeDat, TransCov)

`datWIDE`	defined as in MultiCure
`beta`	A vector containing the most recent estimates of beta
`alpha`	A vector containing the most recent estimates of alpha
`ImputeDat`	This is a list with the following elements: UnequalCens: A vector taking value 1 if the subject has unequal follow-up. Note: If subject is assumed cured in datWIDE, they are listed as UnequalCens = 0. CovMissing: A matrix indicating which elements of Cov are missing. Not needed for this imputation. CovImp: A list containing a single imputation of Cov GImp: A vector with a recent single imputation of G YRImp: A vector with a recent single imputation of Y_R deltaRImp: A vector with a recent single imputation of delta_R y: The integral of the target kernel over Yr0 to Yd Basehaz13: A matrix containing the estimate of the baseline hazard function for the 1->3 transition specified intervals Basehaz24: A matrix containing the estimate of the baseline hazard function for the 2->4 transition specified intervals Basehaz14: A matrix containing the estimate of the baseline hazard function for the 1->4 transition specified intervals Basehaz34: A matrix containing the estimate of the baseline hazard function for the 3->4 transition specified intervals YRImpSAVE: A vecotr with the most recent ACCEPTED values of Y_R from the Metropolis-Hastings algorithm
`TransCov`	defined as in MultiCure