Result for 07D8FDC3A11C31D17B7DEAA79383373737435AC2

Query result

Key Value
FileName./usr/lib64/R/library/ADP/R/ADP.rdb
FileSize7020
MD56E9376D8F760E79766AD5242C54C1E3C
SHA-107D8FDC3A11C31D17B7DEAA79383373737435AC2
SHA-25660CBC5273C6C89DDD8E3B7261732F768E86211AD66696FB8CDC93EBF1538A6E5
SSDEEP192:zt1t53XvP8jW/ZhlEmb9fZLRcA2dEd3rpITYD5l19sYtlUr1jGAM:zt1n3XvthlEmbfK9deFITO5l1jUR2
TLSHT1AAE19D8C6B39A07658894240165903EBFD9340F8DBB96EECB022C2D253A8C83E9931C9
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
MD5CD9786DED1D736B1162A468EFFFBBDCA
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
PackageReleaselp152.1.2
PackageVersion0.1.6
SHA-18EE5F3BE4CBF7DBF90AE4480DFA70371D9888FB7
SHA-2567F420435F0567C118EBED962385C7E0E09BE251FA71EDDE20724190662BC7808