Simulations for Response Adaptive Block Randomization Design
person(given = "Tianyu",
family = "Zhan",
role = c("aut", "cre"),
email = "tianyu.zhan.stats@gmail.com",
comment = c(ORCID = "0000-0002-8572-4539"))
Conduct simulations of the Response Adaptive Block Randomization (RABR) design to evaluate its type I error rate, power and operating characteristics for binary and continuous endpoints. For more details of the proposed method, please refer to Zhan et al. (2020) <arXiv:2004.07356>.
asd, cubature, data.table, doParallel, foreach, ggplot2,
multcomp, multxpert, parallel, survival

Conduct simulations of the Response Adaptive Block Randomization (RABR) design to evaluate its type I error rate, power and operating characteristics for binary and continuous endpoints. For more details of the proposed method, please refer to Zhan et al. (2021) <doi:10.1002/sim.9104>.

c(person("Baldan", "D.", role = c("aut", "cre"),
email = "damiano.baldan91@gmail.com"),
person("Palazzo", "D.", role = "ctb"),
person("Porporato", "E.M.D", role = "ctb"),
person("Brigolin", "D.", role = "ctb"))
R (>= 3.1.0), matrixStats, rstudioapi, plotrix
Solves the bioenergetic balance for different aquaculture sea fish (Sea Bream and Sea Bass) and shellfish (Mussel and Clam) both at individual and population scale.
Baldan D. [aut, cre],
Palazzo D. [ctb],
Porporato E.M.D [ctb],
Brigolin D. [ctb]

maps, maptools, ncdf4, rgdal, rgeos, sp, stats, utils, raster
Solves the individual bioenergetic balance for different aquaculture sea fish (Sea Bream and Sea Bass; Brigolin et al., 2014 <doi:10.3354/aei00093>) and shellfish (Mussel and Clam; Brigolin et al., 2009 <doi:10.1016/j.ecss.2009.01.029>; Solidoro et al., 2000 <doi:10.3354/meps199137>). Allows for spatialized model runs and population simulations.

Fit a variety of models to Rank Abundance Data

R Package for Phylogenetic Analysis of RADseq Data
This package implements import, export, manipulation, visualization, and downstream
(post-clustering) analysis of RADseq data, integrating with the pyRAD package by Deren Eaton.