Result for 49E730312B3F70E843BD787D515574C0F611758A

Query result

Key Value
FileName./usr/lib64/R/library/ADP/help/ADP.rdb
FileSize10217
MD5E742B19DE13E1C35E1C9326A9CA76C15
SHA-149E730312B3F70E843BD787D515574C0F611758A
SHA-25682663145194CE13A836847FBB995549ED34DF9C81DF5E459D173FC6F8165A05B
SSDEEP192:DtBd/pEYha10FOwWMk58NBSlydtLOCw1Cuedc1w6Zvdh/EqleBSGnu6JP:D8YkRwWMpBSlS81CxdhbRu65
TLSHT1D0229F92D29542E195158DD2DC089839D8EDCE3D21DB1FF9427AC3E2A2FCE541385458
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