Description: Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).
Imports: Rcpp (>= 1.0.7),ggplot2,stats, Rdpack

Title: Two-Stage Adaptive Dose-Finding Clinical Trial Design
person("Alyssa", "Vanderbeek", email = "amv2187@cumc.columbia.edu", role = c("aut", "cre")),
person("Laura", "Cosgrove", email = "lec2197@cumc.columbia.edu", role = "ctb"),
person("Cody", "Chiuzan", email = "cc3780@cumc.columbia.edu", role = "ctb"),
person("Elizabeth", "Garrett-Mayer", email = "liz.garrett-mayer@asco.org", role = "ctb"))
Description: Simulate and implement early phase two-stage adaptive dose-finding design developed by Chiuzan et al. (2018) <DOI:10.1080/19466315.2018.1462727>.

person("Alyssa", "Vanderbeek", email = "amv2187@columbia.edu", role = c("aut", "cre")),
person("Elizabeth", "Garrett-Mayer", email = "liz.garrett-mayer@asco.org", role = "ctb"),
person("Cody", "Chiuzan", email = "cc3780@cumc.columbia.edu", role = "ctb"))
Description: Simulate and implement early phase two-stage adaptive dose-finding design for binary and quasi-continuous toxicity endpoints. See Chiuzan et al. (2018) for further reading <DOI:10.1080/19466315.2018.1462727>.

person("Alyssa", "Vanderbeek", email = "vanderbeekam@gmail.com", role = c("aut", "cre")),

Title: Integrative Bayesian Analysis of Transcriptomic and CGH data
Description: Bayesian integrative models of gene expression and comparative genomic hybridization data. The package provides inference on copy number variations and their association with gene expression

Title: Integrative Bayesian Analysis of Transcriptomic and CGH Data
Description: Bayesian integrative models of gene expression and comparative genomic hybridization data. The package provides inference on copy number variations and their association with gene expression.