Set the inverse probability of treatment weights (IPTW) to the user-specified threshold if it exceeds said threshold.

`truncateIptw(population, maxWeight = 10)`

- population
A data frame with at least the two columns described in the details

- maxWeight
The maximum allowed IPTW.

Returns a tibble with the same columns as the input.

The data frame should have the following two columns:

treatment (integer): Column indicating whether the person is in the target (1) or comparator (0) group.

iptw (numeric): Propensity score.

```
rowId <- 1:2000
treatment <- rep(0:1, each = 1000)
iptw <- 1 / c(runif(1000, min = 0, max = 1), runif(1000, min = 0, max = 1))
data <- data.frame(rowId = rowId, treatment = treatment, iptw = iptw)
result <- truncateIptw(data)
#> Truncating 211 (10.6%) IPTW values
```