Result for 0A2DB621D99897A4264665AE1B84AD55B1B31A9F

Query result

Key Value
FileName./usr/lib64/R/library/ADP/Meta/package.rds
FileSize1017
MD50D3C7481911B7AA1E423BA9AC8A4E7CD
SHA-10A2DB621D99897A4264665AE1B84AD55B1B31A9F
SHA-2563C674DF3492A5CB664A418EDCC65B693B97E0D758612DC4B72E5BC04BF8DFDF2
SSDEEP24:Xn7bxMywbPlvsqNfxYGF2cdCzys9qBmzsxnhgRLy62luQzAtFt:X7bKJbPlrNpbF2c4zJ9qBm4hm5kukyt
TLSHT1221165603A54B12AA5084FA01F77ED0C6A9A8A56B4D70319DA807280B6F754646AE0AC
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