R/survivalMPLdc-package.R

In survivalMPLdc: Penalised Likelihood for Survival Analysis with Dependent Censoring

#' Penalised Likelihood for Survival Analysis with Dependent Censoring
#'
#' @name survivalMPLdc-package
#' @aliases survivalMPLdc
#' @docType package
#' @title Penalised Likelihood for Survival Analysis with Dependent Censoring
#' @keywords package
#' @references
#' Ma, J. (2010). \emph{"Positively constrained multiplicative iterative algorithm
#' for maximum penalised likelihood tomographic reconstruction"}. IEEE Transactions On Signal Processing
#' 57, 181-192.
#'
#' Brodaty H, Woodward M, Boundy K, Ames D, Balshaw R. (2011). \emph{"Patients in Australian memory clinics:
#' baseline characteristics and predictors of decline at six months"}. Int Psychogeriatr 23, 1086-1096.
#'
#' Ma, J. and Heritier, S. and Lo, S. (2014). \emph{"On the Maximum Penalised Likelihood Approach
#' for Proportional Hazard Models with Right Censored Survival Data"}. Computational Statistics and
#' Data Analysis 74, 142-156.
#'
#' Brodaty H, Connors M, Xu J, Woodward M, Ames D. (2014). \emph{"Predictors of institutionalization
#' in dementia: a three year longitudinal study"}. Journal of Alzheimers Disease 40, 221-226.
#'
#' Xu J, Ma J, Connors MH, Brodaty H. (2018). \emph{"Proportional hazard model estimation under
#' dependent censoring using copulas and penalized likelihood"}. Statistics in Medicine 37, 2238–2251.
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