Result for 2EA39C32820F8234E72DD150ACDFAF5AF1406D3E

Query result

Key Value
FileName./usr/lib64/R/library/ADP/DESCRIPTION
FileSize1349
MD52E97F589C96277CFBFC85380ACDF3AD4
SHA-12EA39C32820F8234E72DD150ACDFAF5AF1406D3E
SHA-256E891050D996E2906001F3AB2791CC06E456D707892719B9073A58C5222F0C30F
SSDEEP24:EGASaT+c6OflvhzqJ0ai2ReLHm4wAQs4JVk4DIJ0ai2x4opPnvRnMCXrf+O:I+czvO9iiWN7Qs4JmT9i7olF/r
TLSHT1CC2111A0E0252326794703BD387E13D5FB6852A8F13732E4381586721289C7C5FFB978
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
MD51FB91E0AC2B08EF661FE9DE53F05C7DD
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
PackageReleaselp154.1.1
PackageVersion0.1.6
SHA-102DB751D1A018D1CCAF37AB4F7CF7E52A6D27ECC
SHA-25600BBF7A5399773DBD93C35AE0B2F8D5225A28ADD7980726F7907DA2AA02C044D