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Title: Personalized Repeated Measurement Design for Phase I Clinical
Description: Implements Bayesian phase I repeated measurement design that
accounts for multidimensional toxicity endpoints and longitudinal efficacy
measure from multiple treatment cycles. The package provides flags to
fit a variety of model-based phase I design, including 1 stage models with
or without individualized dose modification, 3-stage models with or without
individualized dose modification, etc. Functions are provided to recommend
dosage selection based on the data collected in the available patient cohorts
and to simulate trial characteristics given design parameters.
Depends: R (>= 3.0.0), coda (>= 0.13), ggplot2, stats
Imports: rjags, arrayhelpers, phase1RMD, MASS, reshape2, dplyr, plyr,

Imports: rjags, arrayhelpers, MASS, reshape2, plyr, dplyr,

Title: Repeated Measurement Design for Phase I Clinical Trial
Depends: R (>= 3.0.0), coda, boot, rjags, mvtnorm
Description: Implements our Bayesian phase I repeated measurement design that accounts for multidimensional toxicity endpoints from multiple treatment cycles. The package also provides a novel design to account for both multidimensional toxicity endpoints and early-stage efficacy endpoints in the phase I design. For both designs, functions are provided to recommend the next dosage selection based on the data collected in the available patient cohorts and to simulate trial characteristics given design parameters. Yin, Jun, et al. (2017) <doi:10.1002/sim.7134>.

Author: Jun Yin, Yu Du, Sumithra Mandrekar

Depends: R (>= 3.0.0), coda, boot, rjags, mvtnorm, ggplot2