ggts axis breaks do not align between continuous and discrete variables

[FMKerckhof]

---

When using ggts with both categorical and numerical variables the time breaks (and axes) are not aligned.
This is already clear from the documentation here but a reprex can be found below.

Essentially the breaks (and the axes) are not the same for the continuous and discrete data (here with +geom_vline(xintercept=1970) on top of the reprex below:

While the differences are minute they can complicate interpretation and defeat the purpose of this visualisation. Is this a known bug? Can it be circumvented?

the reprex is a direct extract from the documentation:

library(ggplot2)
library(GGally)
#> Registered S3 method overwritten by 'GGally':
#>   method from   
#>   +.gg   ggplot2

data(pigs)
pigs_dt <- pigs[-(2:3)] # remove year and quarter
pigs_dt$profit_group <- as.numeric(pigs_dt$profit > mean(pigs_dt$profit))

# make the profit group as a factor value
profit_groups <- c(
  "1" = "high",
  "0" = "low"
)
pigs_dt$profit_group <- factor(
  profit_groups[as.character(pigs_dt$profit_group)],
  levels = unname(profit_groups),
  ordered = TRUE
)

pigs_types <- list(
  comboHorizontal = wrap(ggally_facethist, binwidth = 1)
)

ggts(pigs_dt, "time", 2:7, types=pigs_types)

^{Created on 2023-03-20 with reprex v2.0.2}