Applied Singular Spectrum Analysis (ASSA)
Functions to model and decompose time series into principal components using singular spectrum analysis (de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>).
c(person("Miguel", "de Carvalho", role = c("aut", "cre"),
email = "miguel.decarvalho@ed.ac.uk"),
person("Gabriel", "Martos", role = "aut",
email = "gabrielmartos@gmail.com"))
Miguel de Carvalho [aut, cre],
Gabriel Martos [aut]

Adaptive Subgroup Selection in Group Sequential Trials
c(person("Tze Leung", "Lai", role=c("ctb"),
email = "lavori@stanford.edu"),
person("Philip", "Lavori", role=c("aut"),
email = "lavori@stanford.edu"),
person("Olivia", "Liao", role=c("aut"),
email = "oliao@onyx.com"),
person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
email = "naras@stat.Stanford.EDU"),
person("Ka Wai", "Tsang", role=c("aut"),
email = "ktsang@stanford.edu"))
Clinical trial design for subgroup selection in three-stage group
sequential trial. Includes facilities for design, exploration and analysis of
such trials. An implementation of the initial DEFUSE-3 trial is also provided
as a vignette.
Tze Leung Lai [ctb],
Philip Lavori [aut],
Olivia Liao [aut],
Balasubramanian Narasimhan [aut, cre],
Ka Wai Tsang [aut]

c(person("Tze Leung", "Lai", role=c("ctb"),
email = "lait@stanford.edu"),
person("Philip", "Lavori", role=c("aut"),
email = "lavori@stanford.edu"),
person("Olivia", "Liao", role=c("aut"),
email = "oliao@onyx.com"),
person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
email = "naras@stat.Stanford.EDU"),
person("Ka Wai", "Tsang", role=c("aut"),
email = "ktsang@stanford.edu"))

Interactive Document for Working with Association Rule Mining
Analysis
An interactive document on  the topic of association rule mining analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://kartikeyabolar.shinyapps.io/ASSOCShiny/>.

Parinaz Mehdipour <mehdipoor.p@gmail.com> [aut], Ali Ghanbari <a.ghanbari541@gmail.com> [cre,aut], Farshad Farzadfar <farzadfar3@yahoo.com> [cph]
Fits a model to adjust and consider additional variations in three dimensions of age groups, time, and space on residuals excluded from a prediction model that have residual such as: linear regression, mixed model and so on. Details are given in Foreman et al. (2015) <doi:10.1186/1478-7954-10-1>.