knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
Flexible piecewise modelling of cycle thresholds with adjustment for varying intercepts and linear scales.
Install the unstable development from GitHub using the following,
remotes::install_github("seabbs/epict", dependencies = TRUE)
If you don't already have CmdStan installed then, in addition to installing epict
, it is also necessary to install CmdStan using CmdStanR's
install_cmdstan()
function to enable model fitting in epict
. A suitable C++ toolchain is also required. Instructions are provided in the Getting started with
CmdStanR vignette. See the CmdStanR documentation for further details and support.
cmdstanr::install_cmdstan()
As well as epict
this quick start makes use of data.table
and ggplot2
which are both installed when epict
is installed.
library(epict) library(data.table) library(ggplot2)
If using epict
in your work please consider citing it using the following,
citation("epict")
Please briefly describe your problem and what output you expect in an issue. If you have a question, please don't open an issue. Instead, ask on our Q and A page.
We welcome contributions and new contributors! We particularly appreciate help on priority problems in the issues. Please check and add to the issues, and/or add a pull request.
If interested in expanding the functionality of the underlying model note that epict
allows users to pass in their own models meaning that alternative parameterisations may be easily tested within the package infrastructure. Once this testing has been done alterations that increase the flexibility of the package model and improves its defaults are very welcome via pull request or other communication with the package authors.
Please note that the epict
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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