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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).

copied from cf-post-staging / r-r.cache
Type Size Name Uploaded Downloads Labels
conda 122.0 kB | noarch/r-r.cache-0.16.0-r43hc72bb7e_3.conda  1 year and 9 months ago 8560 main
conda 124.1 kB | noarch/r-r.cache-0.16.0-r44hc72bb7e_3.conda  1 year and 9 months ago 8597 main
conda 122.4 kB | noarch/r-r.cache-0.16.0-r42hc72bb7e_2.conda  2 years and 9 months ago 18260 main
conda 121.1 kB | noarch/r-r.cache-0.16.0-r43hc72bb7e_2.conda  2 years and 9 months ago 13233 main
conda 124.2 kB | noarch/r-r.cache-0.16.0-r42hc72bb7e_1.tar.bz2  3 years and 5 months ago 9931 main
conda 124.0 kB | noarch/r-r.cache-0.16.0-r41hc72bb7e_1.tar.bz2  3 years and 5 months ago 37366 main
conda 124.0 kB | noarch/r-r.cache-0.16.0-r40hc72bb7e_0.tar.bz2  3 years and 8 months ago 5898 main
conda 123.9 kB | noarch/r-r.cache-0.16.0-r41hc72bb7e_0.tar.bz2  3 years and 8 months ago 10680 main

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