Crop Growing Degree Days and Agrometeorological Calculations
c(
person(given = "Peter",
family = "Baker",
role = c("aut", "cre"),
email = "drpetebaker@gmail.com",
comment = c(ORCID = "0000-0002-1241-7263")),
person(given = "Miranda",
family = "Mortlock",
role = "aut",
email = "miranda.mortlock@qut.edu.au",
comment = c(ORCID = "0000-0001-7029-9827")))
Calculate agrometeorological variables for crops
including growing degree days (McMaster, GS & Wilhelm, WW
(1997) <doi:10.1016/S0168-1923(97)00027-0>), cumulative
rainfall, number of stress days and cumulative or mean
radiation and evaporation. Convert dates to day of year
and vice versa. Also, download curated and interpolated
Australian weather data from the Queensland Government
DES longpaddock website
<https://www.longpaddock.qld.gov.au/>. This data is
freely available under the Creative Commons 4.0 licence.
lubridate, magrittr, dplyr, tibble, purrr, purrrlyr, httr
tidyverse, rmarkdown, knitr, testthat (>= 3.0.0)

Changepoints for a Range of Penalties (CROPS)
Implements the Changepoints for a Range of Penalties (CROPS) algorithm of Haynes et al. (2014) <doi:10.1007/s11222-016-9687-5> for finding all of the optimal segmentations for multiple penalty values over a continuous range.
sets, reshape, tidyverse, memoise, ggplot2, magrittr, pacman,
Rdpack, methods, cowplot, tibble

c(person("Daniel", "Grose", role = c("aut", "cre"),email = "dan.grose@lancaster.ac.uk"),
person("Paul", "Fearnhead", role = "aut",email = "p.fearnhead@lancaster.ac.uk"),
person("Idris","Eckley",email="i.eckley@lancaster.ac.uk",role=c("ctb")))
Implements the Changepoints for a Range of Penalties (CROPS) algorithm of Haynes et al. (2017) <doi:10.1080/10618600.2015.1116445> for finding all of the optimal segmentations for multiple penalty values over a continuous range.
sets, reshape, tidyverse, memoise, ggplot2, magrittr, methods,
cowplot, tibble, Rdpack
Daniel Grose [aut, cre],
Paul Fearnhead [aut],
Idris Eckley [ctb]

Confidence intervals for crossover points of two simple
regression lines
This package provides functions to calculate confidence intervals for crossover points of two simple linear regression lines using
the non-linear regression, the delta method, the Fieller method, and the bootstrap methods.