Result for 175B7C25D67253CB1FED1AF6A76BFC1C6497C3F9

Query result

Key Value
FileName./usr/lib64/R/library/ADP/Meta/Rd.rds
FileSize378
MD56EAC6CB2AFD2E78632EF402516078EDE
SHA-1175B7C25D67253CB1FED1AF6A76BFC1C6497C3F9
SHA-256C51E3804A5BFB89DD71F66C2B025E649942179A419FC025B046954429A77878F
SSDEEP6:Xt9VVb3kcZRUCQlNKGApIiLSvV71syB2A6w8E3SUNqhhuqvU+GE818yPLqX1L6WC:X/VB3+tHMIsMV71V2fwvWh3v3cqyHJYo
TLSHT14CE06A903103AE0C51C947FC0F65C3CE64BC464163B7141D34A3002D0F84D537E1C110
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