Result for 1A6102FE57A03B84C4A71E62B1B56938F3E39F05

Query result

Key Value
FileName./usr/lib64/R/library/ADP/Meta/hsearch.rds
FileSize386
MD508EA36278B0938B09B89638D51E83818
SHA-11A6102FE57A03B84C4A71E62B1B56938F3E39F05
SHA-256E136EC79CD5B5F985CE89AFBA3A9C84C1F1A0F2B1EE8211EA74157D106004661
SSDEEP12:X/QBIiKeAIo+FcXQNHIc4uP1Esz2JR3v8AT:X/QmMAOFcXCIPFsz2JRf8AT
TLSHT16DE0F1297C14D4A7CB4E542D896872830D3C5F51ECC197D9258B600D14689C61AF7C0E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD565D3EFBCF16F46A70AFE1A34817F7817
PackageArchx86_64
PackageDescriptionCalculate users prevalence of a product based on the prevalence of triers in the population. The measurement of triers is relatively easy. It is just a question of whether a person tried a product even once in his life or not. On the other hand, The measurement of people who also adopt it as part of their life is more complicated since adopting an innovative product is a subjective view of the individual. Mickey Kislev and Shira Kislev developed a formula to calculate the prevalence of a product's users to overcome this difficulty. The current package assists in calculating the users prevalence of a product based on the prevalence of triers in the population. See for: Kislev, M. M., and S. Kislev (2020) <doi:10.5539/ijms.v12n4p63>.
PackageNameR-ADP
PackageReleaselp153.1.1
PackageVersion0.1.6
SHA-1258E80EDDF1C41B00649F77EB53D65D198FE37EA
SHA-256E0C9732DA6DD1F99A6B07BABB4157E48DAB97B879748816D94C678232CB90D1A