Result for 26B308D4CC9DA30369CA38AC13895916D69C0E27

Query result

Key Value
FileName./usr/lib64/R/library/ADP/R/ADP.rdx
FileSize317
MD5B9AF63F55FAAD4555DD46C39C608466D
SHA-126B308D4CC9DA30369CA38AC13895916D69C0E27
SHA-256D25415480DD325432250E1E489C6401C4FCCA08A0645C9016C14BD1B43AB0678
SSDEEP6:XtVFDjOJhqMXhRthQv9dNyMKn8Qbh6JKfMd8R88qq/5Rl:XxPGHthQ1XHKnTbAJ6cs88qgB
TLSHT132E07D45B312570093294E2EE13879228ACF8A47D370ABD05801411862673271BD2DDD
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
MD520ADAC563F98706B8BF9302F2867D3D1
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
PackageRelease1.14
PackageVersion0.1.6
SHA-1F30FE04DBAB940691ED8628DE487385A11DDF3F4
SHA-256C3B5EE527DCEB9A860D6C3076B5F0CA4E5FC09C377919987F780DA09AB821C19