adc provides functions to calculate discharge-based metrics that are useful in water quality concentration and flux regression equations.

Install adc from CRAN:

`install.packages('adc')`

The development version is available on https://txwri.r-universe.dev/adc and can be installed with:

`install.packages('adc', repos = c(txwri = 'https://txwri.r-universe.dev'))`

Flow anomalies represent how different the current discharge period is (current day, current week, current month, etc.) from previous periods (previous week, previous month, period of record, etc.).

```
library(adc)
## example code is lavaca and includes dates and mean daily flow
data(lavaca)
<- fa(lavaca$Flow,
x dates = lavaca$Date,
T_1 = "1 month",
T_2 = "1 year",
clean_up = TRUE,
transform = "log10")
plot(lavaca$Date, x, type = "l", xlab = "Date", ylab = "Anomaly [unitless]")
```

The packages also includes functions to calculate an exponentially
weighted discounted flow, base-flow, and rate of change for mean daily
streamflow. Functions generally work well using the
`dplyr::mutate()`

function to facilitate tidy workflows.