It seems that for the period between 2023-09-19 through 2023-10-01 cranlogs::cran_downloads() reports twice the number of package downloads than do the Posit/RStudio logs. Is it possible to recompute/fix these data?

dates <- seq.Date(as.Date("2023-09-15"), as.Date("2023-10-03"), by = "days")

Total Download Counts based on Posit/RStudio Logs:
logs <- lapply(dates, packageRank::fetchCranLog)
posit <- vapply(logs, nrow, integer(1L))

Total Download Counts based on cranlogs::cran_downloads():
rhub <- cranlogs::cran_downloads(from = min(dates), to = max(dates))

Audit:
audit <- data.frame(date = rhub$date, log.ct = posit, cranlogs.ct = rhub$count)
audit$ratio <- audit$cranlogs.ct / audit$log.ct

> audit
date log.ct cranlogs.ct ratio
1 2023-09-15 6479353 6479353 1
2 2023-09-16 3516904 3516904 1
3 2023-09-17 3534662 3534662 1
4 2023-09-18 7309822 7309822 1
5 2023-09-19 7608886 15217772 2
6 2023-09-20 7488178 14976356 2
7 2023-09-21 6862071 13724142 2
8 2023-09-22 6410593 12821186 2
9 2023-09-23 4011634 8023268 2
10 2023-09-24 3548594 7097188 2
11 2023-09-25 6845864 13691728 2
12 2023-09-26 7204419 14408838 2
13 2023-09-27 7188019 14376038 2
14 2023-09-28 6526022 13052044 2
15 2023-09-29 5653322 11306644 2
16 2023-09-30 3165387 6330774 2
17 2023-10-01 3277506 6555012 2
18 2023-10-02 6268556 6268556 1
19 2023-10-03 6732379 6732379 1