Title: Phase I/II Adaptive Dose-Finding Design For MTA
Copyright: All files in src/CppBugs are copyright Whit Armstrong. All
Description: Phase I/II adaptive dose-finding design for single-agent
Molecularly Targeted Agent (MTA), according to the paper "Phase
I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau
Determination using Adaptive Randomization", Statistics in
LinkingTo: RcppArmadillo (>= 0.3.910), BH (>= 1.54), RcppProgress (>=

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Determination using Adaptive Randomization" (in review).

LinkingTo: RcppArmadillo (>= 0.7.100.3.1), BH (>= 1.55), RcppProgress

Determination using Adaptive Randomization", Riviere Marie-Karelle et

Title: Detection and Analysis of Insect Defoliation Signals in Tree
Authors@R: c(person("Chris", "Guiterman", email = "chguiterman@email.arizona.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9706-9332")),
Description: Tools to identify, quantify, analyze, and visualize growth
suppression events in tree rings that are often produced by insect
Suggests: testthat, vdiffr, knitr, rmarkdown
Imports: dplR, dplyr, rlang, MASS, stats, ggplot2, ggpubr, reshape2,
Packaged: 2020-02-26 19:40:15 UTC; chguiterman
Author: Chris Guiterman [aut, cre] (<https://orcid.org/0000-0002-9706-9332>),

defoliation. Described in Guiterman et al. (2020) <doi:10.1016/j.dendro.2020.125750>.
Imports: dplR, dplyr, forcats, ggplot2, ggpubr, magrittr, MASS, plyr,
Packaged: 2020-09-02 11:52:46 UTC; chguiterman

Description: Derivative-Free optimization algorithms. These algorithms
do not require gradient information. More importantly, they can
be used to solve non-smooth optimization problems.
Author: Ravi Varadhan, Johns Hopkins University

Author: Ravi Varadhan, Johns Hopkins University, and Hans W. Borchers

Author: Ravi Varadhan, Johns Hopkins University, and Hans W. Borchers,

Description: Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.