R/bibentries.R

bibentries <- c(
  sun2012exact = bibentry("article",
    title = "Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked?",
    author = "Sun, Ying and Genton, Marc G and Nychka, Douglas W",
    journal = "Stat",
    volume = "1",
    number = "1",
    pages = "68--74",
    year = "2012",
    publisher = "Wiley Online Library"
  ),
  lopez2009concept = bibentry("article",
    title = "On the concept of depth for functional data",
    author = "L\u00f3pez-Pintado, Sara and Romo, Juan",
    journal = "Journal of the American statistical Association",
    volume = "104",
    number = "486",
    pages = "718--734",
    year = "2009",
    publisher = "Taylor & Francis"
  ),
  mazumder2010 = bibentry("article",
    title= "Spectral regularization algorithms for learning large incomplete matrices",
    author = "Mazumder, Rahul and Hastie, Trevor and Tibshirani, Robert",
    journal = "The Journal of Machine Learning Research",
    volume = "11",
    pages = "2287-2322",
    year = "2010"
  ),
  softimpute = bibentry("manual",
    title = "\\code{softImpute}: Matrix Completion via Iterative Soft-Thresholded SVD",
    author = "Trevor Hastie and Rahul Mazumder",
    year = "2021",
    note = "R package version 1.4-1",
    url = "https://CRAN.R-project.org/package=softImpute"
  ),
  meng2023mogsa = bibentry("manual",
    title = "\\code{mogsa}: Multiple omics data integrative clustering and gene set analysis",
    author = "Chen Meng",
    year = "2023",
    url = "https://bioconductor.org/packages/mogsa"
  ),
  swihart2010lasagna = bibentry("article",
    title = "Lasagna plots: a saucy alternative to spaghetti plots",
    author = "Swihart, Bruce J and Caffo, Brian and James, Bryan D and Strand, Matthew and Schwartz, Brian S and Punjabi, Naresh M",
    journal = "Epidemiology (Cambridge, Mass.)",
    volume = "21",
    number = "5",
    pages = "621--625",
    year = "2010",
    publisher = "NIH Public Access"
  )
)

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tf documentation built on May 29, 2024, 5:28 a.m.