targets
targets.Rmd
library(btbr)
#> Loading required package: evd
#> Loading required package: smwrBase
#> Loading required package: lubridate
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#> Attaching package: 'lubridate'
#> The following objects are masked from 'package:base':
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#> date, intersect, setdiff, union
#> Loading required package: brms
#> Loading required package: Rcpp
#> Loading 'brms' package (version 2.21.0). Useful instructions
#> can be found by typing help('brms'). A more detailed introduction
#> to the package is available through vignette('brms_overview').
#>
#> Attaching package: 'brms'
#> The following objects are masked from 'package:evd':
#>
#> dfrechet, pfrechet, qfrechet, rfrechet
#> The following object is masked from 'package:stats':
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#> ar
library(targets)Introduction
Data analysis pipelines are a great way to keep your work organized and reproducible. It also helps with adding new tweaks or adjustments without running the parts that don’t need it! Below we’ll show the current setup for the targets pipeline and how processes (functions) are related to outputs (objects). This allows us to rerun the analysis or update the analysis more efficiently for future iterations. For more information on the {targets} package and framework go here.