General Purpose G-Estimation for End of Study or Time-Varying
Outcomes
Daniel Tompsett, Stijn Vansteelandt, Oliver Dukes, Bianca De Stavola
Provides a series of general purpose tools to perform g-estimation using the methods described in Sjolander and Vansteelandt (2016) <doi:10.1515/em-2015-0005> and Dukes and Vansteelandt <doi:10.1093/aje/kwx347>. The package allows for g-estimation in a wide variety of circumstances, including an end of study or time-varying outcome, and an exposure that is a binary, continuous, or a categorical variable with three or more categories. The package also supports g-estimation with time-varying causal effects and effect modification by a confounding variable.
DataCombine, tidyr, tibble, tidyselect, geeM, rsample, nnet,
magrittr

DataCombine, tidyr, tibble, tidyselect, geeM, rsample, nnet,
magrittr, testthat

Download and Use CRU CL2.0 Climatology Data in R
person("Adam", "Sparks", role = c("aut", "cre"))
Provides functions that automate downloading and importing
University of East Anglia Climate Research Unit (CRU) CL2.0 climatology data
into R, facilitates the calculation of minimum temperature and maximum
temperature and formats the data into a tidy data frame or a list of raster
stack objects for use in an R session. CRU CL2.0 data are a gridded
climatology of 1961-1990 monthly means released in 2002 and cover all land
areas (excluding Antarctica) at 10 arc-second resolution. For more
information see the description of the data provided by the University of
East Anglia Climate Research Unit,
<http://www.cru.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
curl, dplyr, plyr, purrr, raster, tidyr, utils

Use and Explore CRU CL v. 2.0 Climatology Elements in R
c(person(given = "Adam", family = "Sparks",
email = "adamhsparks@gmail.com", role = c("aut", "cre"),
comment = "https://orcid.org/0000-0002-0061-8359"),
person("Scott", "Chamberlain", role = c("ctb", "cph"),
email = "myrmecocystus@gmail.com",
comment = "Contributed code for caching data files,
https://orcid.org/0000-0003-1444-9135"))
Provides functions that automate downloading and importing
University of East Anglia Climate Research Unit (CRU) CL v. 2.0 climatology
data into R, facilitates the calculation of minimum temperature and maximum
temperature and formats the data into a tidy data frame as a tibble or a
list of raster stack objects for use in an R session.  CRU CL v. 2.0 data
are a gridded climatology of 1961-1990 monthly means released in 2002 and
cover all land areas (excluding Antarctica) at 10 arcminutes
(0.1666667 degree) resolution.  For more information see the description of
the data provided by the University of East Anglia Climate Research Unit,
<https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
data.table, dplyr, httr, purrr (>= 0.2.0), rappdirs, raster,
tidyr, tibble, utils
ccafs, covr, ggplot2, knitr, readr, rmarkdown, roxygen2 (>=
6.0.1), sp, testthat, viridis
Adam Sparks [aut, cre] (https://orcid.org/0000-0002-0061-8359),
Scott Chamberlain [ctb, cph] (Contributed code for caching data files,
https://orcid.org/0000-0003-1444-9135)