Result for 6E6B3002F5C81D123F4182303832833F21F6BD59

Query result

Key Value
FileName./usr/lib64/R/library/ADP/DESCRIPTION
FileSize1349
MD5FE51C023C7310B39F94FE7384686C47D
SHA-16E6B3002F5C81D123F4182303832833F21F6BD59
SHA-256502AFB6812D01C58BE1241FDF4EE0B235834C2D5F33CE9295BA0D413F14303BA
SSDEEP24:EGASaT+c6OflvhzqJ0ai2ReLHm4wAQs4JVk4DIJ0ai2x4opPnvRnMCXrflg:I+czvO9iiWN7Qs4JmT9i7olF/hg
TLSHT18721F1A0E0252326790703BD387E17D6FB6852A8F53732E438158A721289C7C5EF7578
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD5AB69F4EB50AB17D7530FF8A0C204CCAC
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
PackageReleaselp153.1.2
PackageVersion0.1.6
SHA-1341AE2FAD791DDD71EE6C9DF49EF2C6C66FD9663
SHA-256664E48E90A35D411CDBE62DC29C2DDCC0879199B1AEABFA99148F43BC23D32D0