Author: Martin Schlather [aut, cre], Alexander FreudenBerg [aut], Reinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley [ctb], John W. Ratcliff  et al. (cph)
Description: Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used.
Packaged: 2022-01-16 16:47:39 UTC; schlather

Packaged: 2022-03-24 19:10:55 UTC; schlather

Packaged: 2022-03-30 19:33:43 UTC; schlather

Packaged: 2022-04-18 03:42:38 UTC; schlather

Title: Random Forests for Dependent Data
Authors@R: c(person("Arkajyoti", "Saha", role=c("aut", "cre"), email="arkajyotisaha93@gmail.com"), person("Sumanta", "Basu", role="aut", email="sumbose@cornell.edu"), person("Abhirup", "Datta", role="aut", email="abhidatta@jhu.edu"))
Imports: BRISC, parallel, stats, matrixStats, randomForest, pbapply
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 2.1.0)
Description: Fits non-linear regression models on dependant data with Generalised Least Square (GLS) based Random Forest (RF-GLS) detailed in Saha, Basu and Datta (2020) <arXiv:2007.15421>.
Packaged: 2021-01-06 18:00:38 UTC; arkajyotisaha

Packaged: 2021-01-10 14:09:37 UTC; arkajyotisaha

Packaged: 2021-01-29 06:00:16 UTC; arkajyotisaha

Title: Filtering and Randomly Sampling Real User-Agent Strings
Description: Based on data of real user-agent strings, we can set filtering conditions
and randomly sample user-agent strings from the user-agent string pool.
Suggests: dplyr, knitr, markdown, rmarkdown
Packaged: 2021-06-16 14:57:04 UTC; xiefangzhou
Author: Fangzhou Xie [aut, cre] (<https://orcid.org/0000-0001-7702-093X>)

Authors@R: person("Sonia", "Ahluwalia", email = "sonia.bhar.ahluwalia@gmail.com", role = c("aut", "cre"))
Description: Displays palette of 5 colors based on photos depicting the unique and vibrant culture of Punjab
in Northern India. Since Punjab translates to "Land of 5 Rivers" there are 5 colors per palette.
If users need more than 5 colors, they can 2 merge palettes to create their own color-combination.
Users can view colors of 1 or 2 palettes together. Users can also list all the palette choices.
And last but not least, users can see the photo that inspired a particular palette.