Result for 1E161682A12D719A73CF171227F7E4F277E2A42D

Query result

Key Value
FileName./usr/lib64/R/library/ADP/help/aliases.rds
FileSize94
MD5E3D8D80E3A2B0646FD298A0F7812B128
SHA-11E161682A12D719A73CF171227F7E4F277E2A42D
SHA-2567BA4FA39D0230FDBC738393A239D5AA10F3B1271EAA1F776E6CEC80FC69854C0
SSDEEP3:FttVFHIXJ/00XSxJMvmQ3L7GJuCln:XtVFou0ix1Q77Wn
TLSHT14AB01204804AC564C49B127104419418C0CB19225C2141459B02456BB4EC5024EC584C
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
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