R programs (Splus is similar, except for a few functions).

• Part I: below detection limit values
  • mlnorm.r ML estimation using optim()
  • nada.r ROS, MLE and KM estimation using NADA package
  • cu.r KM for groups, Gehan-Wilcoxon test, and likelihood ratio test using cenmle()
  • boot.r Bootstrapping using boot() and boot.ci() functions in the boot package
  • boot2.r Bootstrapping using 'handwritten' percentile bootstrap.
  • simulate.r Simulate data sets and numerically assess properties of an estimator
• Part II: toxicology
• Part III: trends
  • trend.rParametric trend estimation
  • trend2.rNonparametric (Kendall and Theil-Sen) trend estimation

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