Result for 4D56E562F746CE7C0C220BA5882C1DBB3B384FD2

Query result

Key Value
FileName./usr/lib64/R/library/ADP/R/ADP.rdx
FileSize298
MD5E42202EA94C32A7A7C469C3C22BBE3BF
SHA-14D56E562F746CE7C0C220BA5882C1DBB3B384FD2
SHA-256226CE6B47C29FEE3C5C89CE4B037AA3128D2C15A0AAC056011C7B89DB53F32BA
SSDEEP6:XtVFo6LGyYayQBsjAyMKn8Qbh6JKCFf8IpfAQHl948hI7L/:XLGyXaAHKnTbAJ1V8AACnRW7D
TLSHT134E07D4E12722740C2A07E29A1395F020911CA56E3306B7C162041480342925A7F2D5C
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
MD565D3EFBCF16F46A70AFE1A34817F7817
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
PackageReleaselp153.1.1
PackageVersion0.1.6
SHA-1258E80EDDF1C41B00649F77EB53D65D198FE37EA
SHA-256E0C9732DA6DD1F99A6B07BABB4157E48DAB97B879748816D94C678232CB90D1A