flmtools

Functions for working with Functional Linear Models fit by package mgcv

Installation

Install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("atyre2/flmtools")

Example

This is a basic example which shows you how to solve a common problem:

library(flmtools)
test <- lagData(env_data, response_data, unit = "month", 6, 24, "envVar")
dim(test$envVar_6_24)
#> [1] 1564   25
test$envVar_6_24[1:5,1:5]
#>           [,1]       [,2]       [,3]        [,4]       [,5]
#> [1,] -1.814588  0.4147297 -0.8106267  0.01793560 -0.2340466
#> [2,] -1.398805 -0.6188605 -0.2926461 -0.03419035 -0.7086876
#> [3,] -1.852108 -1.2623994 -1.5570320  0.13727948 -0.9648743
#> [4,] -1.766835 -0.7007030 -0.8072138  0.05019164 -1.3552247
#> [5,] -1.470783 -0.1804599 -0.3980886  0.17245816 -0.7682544

Code of Conduct

Please note that the ‘flmtools’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.