Title: Week of the year and weekday according to ISO 8601
Author: Uwe Block <u.block.mz@googlemail.com>, using an algorithm by
Description: This is an substitute for the %V and %u formats which are
not implemented on Windows. In addition, the package offers
functions to convert from standard calender format yyyy-mm-dd
to and from ISO 8601 week format yyyy-Www-d.
Collate: 'ISOweek.R' 'ISOweekday.R' 'date2ISOweek.R' 'ISOweek2date.R'

Author: Uwe Block <u.block.mz@gmail.com>, using an algorithm by Hatto
Description: This is an substitue for the %V and %u formats which are

Title: The Iterated Score Regression-Based Estimation Algorithm
Description: Algorithms to handle with PCA-based missing data with high correlation. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.

Description: Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high correlation and DISR is for distributed PCA-based missing data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.

person("Jonathan", "Lisic", , "jonathan.lisic@nass.usda.gov", c("aut", "cre"))
Description: Performs multivariate normal imputation through iterative sequential
regression.  Conditional dependency structure between imputed variables can be
specified a priori to accelerate imputation.
Packaged: 2016-10-13 14:57:36 UTC; jonathanlisic

Title: Tools and Data for the International Soil Radiocarbon Database
Authors@R: c(person("Alison", "Hoyt", email = "ahoyt@bgc-jena.mpg.de", role = c("aut")), person("Jeffrey", "Beem-Miller", email = "jbeem@bgc-jena.mpg.de", role = c("aut", "cre")), person("Shane", "Stoner", email = "sstoner@bgc-jena.mpg.de", role = c("aut")), person("J. Grey", "Monroe", email = "greymonroe@gmail.com", role = c("aut")), person("Caitlin", "Hicks-Pries", email = "caitlin.pries@dartmouth.edu", role = c("aut")), person("Paul A.", "Levine", email = "paul.levine@uci.edu", role = c("aut")))
Description: This is the central location for data and tools for the development, maintenance, analysis, and deployment of the International Soil Radiocarbon Database (ISRaD). ISRaD was developed as a collaboration between the U.S. Geological Survey Powell Center and the Max Planck Institute for Biogeochemistry. This R package provides tools for accessing and manipulating ISRaD data, compiling local data using the ISRaD data structure, and simple query and reporting functions for ISRaD. For more detailed information visit the ISRaD website at: <https://soilradiocarbon.org/>.
Imports: openxlsx, devtools, raster, rgdal, dplyr, tidyr, RCurl,
ggplot2, maps, assertthat, rcrossref, pangaear, tidyverse,