Result for 1EB8AD242CE394E5CDEF25985E950C1A50575CE8

Query result

Key Value
FileName./usr/lib64/R/library/ADP/Meta/package.rds
FileSize1034
MD537485754A4F3A080CC591AA18F91A9A9
SHA-11EB8AD242CE394E5CDEF25985E950C1A50575CE8
SHA-256B0A3A542C08F6DABC28CA0E3B7DDB60B48896E2333DE44F314864E93F5252F44
SSDEEP24:XnnDn/3jJ3RNY0dC1PbMV9FhFbwlAMU6qfut0cDdiaLqe8Fl:Xb13RNYjDM/LFbZb6qfu+cD/Lqh3
TLSHT1C011B54429D4B734F36EA2FDB05F0610F19ABFE91453C65901469456420840E1D9363B
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
MD520ADAC563F98706B8BF9302F2867D3D1
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
PackageRelease1.14
PackageVersion0.1.6
SHA-1F30FE04DBAB940691ED8628DE487385A11DDF3F4
SHA-256C3B5EE527DCEB9A860D6C3076B5F0CA4E5FC09C377919987F780DA09AB821C19