Suggests: testthat, stats, utils, knitr, rmarkdown

Title: Computation of BRINDA Adjusted Micronutrient Biomarkers for
Imports: berryFunctions, data.table, dplyr, Hmisc, rlang
Author: Hanqi Luo [cre, aut] (<https://orcid.org/0000-0001-6253-5818>),

Title: Fast Inference for Large Spatial Datasets using BRISC
Authors@R: 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"))
Depends: R (>= 3.3.0), RANN, parallel, stats, rdist, matrixStats,
Description: 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>.
Packaged: 2018-07-20 17:16:35 UTC; arkajyotisaha

Packaged: 2019-08-19 14:09:25 UTC; arkajyotisaha

Description: 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>.
Packaged: 2021-01-07 18:30:19 UTC; arkajyotisaha

Packaged: 2021-09-20 17:55:08 UTC; arkajyotisaha

Authors@R: 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"), person("Lukas M.", "Weber",  role="ctb", email = "lukas.weber.edu@gmail.com"))
Packaged: 2022-03-02 18:49:06 UTC; arkajyotisaha

Packaged: 2022-03-03 12:52:53 UTC; arkajyotisaha

Authors@R: person("Mauricio", "Sadinle", email = "msadinle@uw.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7092-3877"))
Description: Implementation of the record linkage methodology proposed by Sadinle (2017) <doi:10.1080/01621459.2016.1148612>.  It handles the bipartite record linkage problem, where two duplicate-free datafiles are to be merged.
Packaged: 2020-01-11 01:12:16 UTC; Mauricio Sadinle
Author: Mauricio Sadinle [aut, cre] (<https://orcid.org/0000-0002-7092-3877>)