Title: Statistical Methods for Designing and Analyzing a Calibration
Author: Ramon Durazo-Arvizu, Chris Sempos, and Lu Tian
Description: Provides statistical methods for the design and analysis of a calibration study, which aims for calibrating measurements using two different methods. The package includes sample size calculation, sample selection,  regression analysis with error-in measurements and change-point regression. The method is described in Tian, Durazo-Arvizu, Myers, et al. (2014) <DOI:10.1002/sim.6235>.

Authors@R: c(person("Marie", "Davidian", role = "aut"),
person("A.A.", "Tsiatis", role = "aut"),
Description: Implements methods for inference on potential waning of vaccine
efficacy and for estimation of vaccine efficacy at a user-specified time
after vaccination based on data from a randomized, double-blind,
placebo-controlled vaccine trial in which participants may be unblinded
and placebo subjects may be crossed over to the study vaccine.  The
methods also allow adjustment for possible confounding via inverse
probability weighting through specification of models for the trial
entry process, unblinding mechanisms, and the probability an unblinded
placebo participant accepts study vaccine:  Tsiatis, A. A. and Davidian,
Depends: R (>= 2.10), survival, stats, graphics, ggplot2
Collate: 'entryFit.R' 'gFunctions.R' 'estimateb.R' 'estimateu.R'

Title: Vaccine Efficacy Over Time - Variant Aware
Description: Implements methods for inference on potential waning of vaccine efficacy and for estimation of vaccine efficacy at a user-specified time after vaccination based on data from a randomized, double-blind, placebo-controlled vaccine trial in which participants may be unblinded and placebo subjects may be crossed over to the study vaccine.  The methods also for variant stratification and allow adjustment for possible confounding via inverse probability weighting through specification of models for the trial entry process, unblinding mechanisms, and the probability an unblinded placebo participant accepts study vaccine.
Depends: R (>= 3.5.0), survival, stats, graphics, ggplot2, Rcpp,
Collate: 'RcppExports.R' 'censorFit.R' 'confirmIntegerLike.R' 'pzero.R'
'survFunc.R' 'entryFit.R' 'esttheta.R' 'fitCensor.R' 'psiFit.R'