testthat, stats, utils, knitr, rmarkdown

Computation of BRINDA Adjusted Micronutrient Biomarkers for
Inflammation
c(person(given  = "Hanqi",
family = "Luo",
email  = "LUOHANQI@gmail.com",
role   = c("cre", "aut"),
comment = c(ORCID = "0000-0001-6253-5818")),
person(given  = "O Yaw",
family = "Addo",
email  = "lyu6@cdc.gov",
role  = "aut",
comment = c(ORCID = "0000-0003-1269-759X")),
person(given = "Afrin",
family = "Jahan",
email = "afrin.jahan@emory.edu",
role = "ctb"))
berryFunctions, data.table, dplyr, Hmisc, rlang
Hanqi Luo [cre, aut] (<https://orcid.org/0000-0001-6253-5818>),
O Yaw Addo [aut] (<https://orcid.org/0000-0003-1269-759X>),
Afrin Jahan [ctb]

c(person(given  = "Hanqi",
family = "Luo",
email  = "LUOHANQI@gmail.com",
role   = c("cre", "aut"),
comment = c(ORCID = "0000-0001-6253-5818")),
person(given  = "O Yaw",
family = "Addo",
email  = "lyu6@cdc.gov",
role  = "aut",
comment = c(ORCID = "0000-0003-1269-759X")),
person(given = "Jiaxi",
family = "Geng",
email = "jiaxi.geng@emory.edu",
role = "ctb"))
Hanqi Luo [cre, aut] (<https://orcid.org/0000-0001-6253-5818>),
O Yaw Addo [aut] (<https://orcid.org/0000-0003-1269-759X>),
Jiaxi Geng [ctb]

Fast Inference for Large Spatial Datasets using BRISC
c(person("Arkajyoti", "Saha", role=c("aut", "cre"), email="arkajyotisaha93@gmail.com"), person("Abhirup", "Datta", role="aut", email="abhidatta@jhu.edu"), person("Jorge", "Nocedal", role="ctb", email="j-nocedal@northwestern.edu"), person("Naoaki", "Okazaki", role="ctb", email="okazaki@c.titech.ac.jp"))
Arkajyoti Saha [aut, cre],
Abhirup Datta [aut],
Jorge Nocedal [ctb],
Naoaki Okazaki [ctb]
R (>= 3.3.0), RANN, parallel, stats, rdist, matrixStats,
pbapply
Fits Bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using Nearest Neighbor Gaussian Processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.

R (>= 3.3.0), RANN, parallel, stats, rdist, matrixStats,
pbapply, graphics

Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.