Functions for working with Functional Linear Models fit by package mgcv
Install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("atyre2/flmtools")
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
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.
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