DTDA

R package DTDA: Doubly truncated data analysis. This package implements different algorithms for analyzing randomly truncated data, one-sided and two-sided (i.e. doubly) truncated data. Two real data sets are included.


References in zbMATH (referenced in 13 articles , 1 standard article )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Jacobo de Uña-Álvarez: R packages for the statistical analysis of doubly truncated data: a review (2020) arXiv
  2. Shen, Pao-sheng: Quantile regression for doubly truncated data (2020)
  3. Shen, Pao-sheng; Hsu, Huichen: Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data (2020)
  4. Shen, Pao-sheng; Liu, Yi: Pseudo maximum likelihood estimation for the Cox model with doubly truncated data (2019)
  5. Shen, Pao-sheng; Liu, Yi: Pseudo MLE for semiparametric transformation model with doubly truncated data (2019)
  6. Mandel, Micha; De Uña-Álvarez, Jacobo; Simon, David K.; Betensky, Rebecca A.: Inverse probability weighted Cox regression for doubly truncated data (2018)
  7. Slaoui, Yousri: Data-driven bandwidth selection for recursive kernel density estimators under double truncation (2018)
  8. Moreira, C.; de Uña-Álvarez, J.; Meira-Machado, L.: Nonparametric regression with doubly truncated data (2016)
  9. Shen, Pao-sheng: Analysis of transformation models with doubly truncated data (2016)
  10. Moreira, Carla; de Uña-Álvarez, Jacobo; van Keilegom, Ingrid: Goodness-of-fit tests for a semiparametric model under random double truncation (2014)
  11. Moreira, C.; Van Keilegom, I.: Bandwidth selection for kernel density estimation with doubly truncated data (2013)
  12. Moreira, Carla; de Uña-Álvarez, Jacobo: Kernel density estimation with doubly truncated data (2012)
  13. Carla Moreira; Jacobo de Uña-Álvarez; Rosa Crujeiras: DTDA: An R Package to Analyze Randomly Truncated Data (2010) not zbMATH