dplyr, geojsonsf, httr, lubridate, plyr, purrr, readr, tibble,
tidyr, utils
ggplot2, ggmap, ggrepel, here, httptest, kableExtra, knitr,
rmarkdown, sf, testthat

dplyr, geojsonsf, httr, lubridate, plyr, purrr, readr, rlang,
tibble, tidyr, utils

dplyr, geojsonsf, httr, lubridate, plyr, purrr, readr, rlang,
tibble, tidyr (>= 1.0.0), utils

dplyr, geojsonsf, httr, plyr, purrr, readr, rlang, tibble,
tidyr (>= 1.0.0), utils
spelling, ggplot2, ggmap, ggrepel, here, httptest,
kableExtra, knitr, rmarkdown, sf, testthat

ggplot2, ggrepel, ggspatial, here, httptest, kableExtra,
knitr, raster, rmarkdown, sf, testthat, utf8

person("Michael", "Schramm", role = c("aut", "cre", "cph"), email = "michael.schramm@ag.tamu.edu")

Efficient calculation of fine structure isotope patterns via
Fourier transforms of simplex-based elemental models
Provides a function that quickly computes the fine structure
isotope patterns of a set of chemical formulas to a given degree of
accuracy (up to the limit set by errors in floating point arithmetic). A
data-set comprising the masses and isotopic abundances of individual
elements is also provided.

Efficient Calculation of Fine Structure Isotope Patterns via
Fourier Transforms of Simplex-Based Elemental Models
Provides a function that quickly computes the fine structure
isotope patterns of a set of chemical formulas to a given degree of
accuracy (up to the limit set by errors in floating point arithmetic). A
data-set comprising the masses and isotopic abundances of individual
elements is also provided and calculation of isotopic gross structures
is also supported.

Environment Based Clustering for Interpretable Predictive Models
in High Dimensional Data
c(person("Sahir Rai", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
role = c("aut", "cre"), comment = "http://sahirbhatnagar.com/"))
Companion package to the paper: An analytic approach for
interpretable predictive models in high dimensional data, in the presence of
interactions with exposures. Bhatnagar, Yang, Khundrakpam, Evans, Blanchette, Bouchard, Greenwood (2017) <DOI:10.1101/102475>.
This package includes an algorithm for clustering high dimensional data that can be affected by an environmental factor.
cluster, earth, ncvreg, knitr, rmarkdown, protoclust,
factoextra, ComplexHeatmap, circlize, pheatmap, viridis, pROC,
glmnet
caret, data.table, dynamicTreeCut, magrittr, pacman, WGCNA,
stringr, pander, stats
Sahir Rai Bhatnagar [aut, cre] (http://sahirbhatnagar.com/)