Thank you all very much for the suggestions, after testing, each of them would
be a viable solution in certain contexts. Code for benchmarking:
# preliminaries
install.packages("microbenchmark")
library(microbenchmark)
data <- new.env()
data$ans2 <- 0
data$ans3 <- 0
data$i <- 0
data$fun.value
But why time methods that the author (me!) has been telling the community for
years have updates? Especially as optimx::optimr() uses same syntax as optim()
and gives access to a number of solvers, both production and didactic. This set
of solvers is being improved or added to regularly, with a ma
Hi Dirk,
Do you think it's worth also/instead considering a fix to S4 to avoid
this caching issue in future R versions?
(This is top of my for me as we consider the design of S7, and I
recently made a note to ensure we avoid similar problems there:
https://github.com/RConsortium/OOP-WG/issues/317
Hi Gabriel,
Nice idea! I have encountered this problem several times, while probably a
better management of libraries could avoided the issue this is an elegant
solution.
How would this proposal handle arguments mask.ok, include.only and exclude?
For example, in the (edge) case two packages expor
Hi Hadley,
On 8 August 2023 at 08:34, Hadley Wickham wrote:
| Do you think it's worth also/instead considering a fix to S4 to avoid
| this caching issue in future R versions?
That is somewhat orthogonal to my point of "'some uses' of the 20 year old S4
system (which as we know is fairly widely
