Result for 0DC9C7918A3679A8F253E7C1FE24C354F54A0856

Query result

Key Value
FileName./usr/lib64/R/library/ADP/R/ADP.rdb
FileSize7020
MD5EDFECEFD08EC777C06AACDAFFEA4229E
SHA-10DC9C7918A3679A8F253E7C1FE24C354F54A0856
SHA-256BA9F80D5C702F28F590D0CD2EEF231EA6B8329AB57155E991C89BB125AA54C1A
SSDEEP192:zt7O43XvP8jW/ZhlEmb9fZLRcA2dEd3rpITYD5l19sYtlUr1jGAM:zt73XvthlEmbfK9deFITO5l1jUR2
TLSHT19AE18E4D6B35B0AA588D4140531803E7EE9341F8EBBA6AED7123D3D603A9DC3E4931D9
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