Result for 3EC16AB48656879D66A71377683A6C98F5C92FB9

Query result

Key Value
FileName./usr/lib64/R/library/ADP/DESCRIPTION
FileSize1349
MD589451312C97B80CF05CA3639FFD0D916
SHA-13EC16AB48656879D66A71377683A6C98F5C92FB9
SHA-2569BE991FD8371C1B43337B9F91FA9BD3763AC96BFBC232A908706F88C7B9A2ACD
SSDEEP24:EGASaT+c6OflvhzqJ0ai2ReLHm4wAQs4JVk4DIJ0ai2x4opPnvRnMCXrfV:I+czvO9iiWN7Qs4JmT9i7olF/x
TLSHT172210FA0E0252326790703BD386E17D5FB6852A8F13732D8381586721289C7C5EF7578
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