Description: Provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing stochastic estimation of these same properties. Thirdly, it provides parametric event prediction using blinded trial data, including creation of prediction intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment distributions (Curves).
Imports: foreach, doParallel, shiny, shinythemes, survival, methods

Title: General Purpose G-Estimation for End of Study or Time-Varying
Author: Daniel Tompsett, Stijn Vansteelandt, Oliver Dukes, Bianca De Stavola
Description: 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.
Imports: DataCombine, tidyr, tibble, tidyselect, geeM, rsample, nnet,

Title: Download and Use CRU CL2.0 Climatology Data in R
Author: person("Adam", "Sparks", role = c("aut", "cre"))
Description: 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
Imports: curl, dplyr, plyr, purrr, raster, tidyr, utils