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henrikbengtsson
R.cache:Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
Maintained by Henrik Bengtsson. Last updated 3 years ago.
39 stars 9.59 score 94 scripts 112 dependents
cran
simpleRCache:Simple R Cache
Simple result caching in R based on R.cache. The global environment is not considered when caching results simplifying moving files between multiple instances of R. Relies on more base functions than R.cache (e.g. cached results are saved using saveRDS() and readRDS()).
Maintained by Augustin Luna. Last updated 4 years ago.
2.00 score