https://github.com/mrc-ide/umbrella

☂️ Rainfall & Seasonality ☂️
https://github.com/mrc-ide/umbrella

Last synced: 7 days ago
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☂️ Rainfall & Seasonality ☂️

• Host: GitHub
• URL: https://github.com/mrc-ide/umbrella
• Owner: mrc-ide
• License: mit
• Created: 2020-03-13T10:12:44.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-09-03T09:09:41.000Z (4 months ago)
• Last Synced: 2024-11-06T02:32:07.500Z (about 2 months ago)
• Language: R
• Homepage: https://mrc-ide.github.io/umbrella/
• Size: 2.52 MB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# umbrella 

[![R build status](https://github.com/mrc-ide/umbrella/workflows/R-CMD-check/badge.svg)](https://github.com/mrc-ide/umbrella/actions)

[![codecov](https://codecov.io/gh/mrc-ide/umbrella/branch/master/graph/badge.svg)](https://codecov.io/gh/mrc-ide/umbrella)

[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)

Umbrella facilitates access and extraction of CHIRPS rainfall data and fitting of seasonal profiles. 

The package leans heavily on data and functionality from:

CHIRPS:

Please see the [CHIRPS website](https://www.chc.ucsb.edu/data/chirps) for more information, usage rights and 

[citation infromation](http://legacy.chg.ucsb.edu/data/chirps/#_Citations).

## Installation

Please install from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("mrc-ide/umbrella")

```

We estimate the fourier series representing general seasonal profiles given rainfall in a setting

using the following equation



where `g0`, `g1`, `g2`, `g3`, `h1`, `h2`, `h3` are fitted parameters. This equation

can be fitted as a linear model using Rs `lm` function.

However, we impose an additional constraint when fitting: the rainfall floor. This sets a minimum

lower bound on the value of rainfall. With this constraint we fit the resulting model with the 

`optim()` function.