Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	AB69F4EB50AB17D7530FF8A0C204CCAC
PackageArch	x86_64
PackageDescription	Calculate 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>.
PackageName	R-ADP
PackageRelease	lp153.1.2
PackageVersion	0.1.6
SHA-1	341AE2FAD791DDD71EE6C9DF49EF2C6C66FD9663
SHA-256	664E48E90A35D411CDBE62DC29C2DDCC0879199B1AEABFA99148F43BC23D32D0

Key	Value
MD5	CD9786DED1D736B1162A468EFFFBBDCA
PackageArch	x86_64
PackageDescription	Calculate 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>.
PackageName	R-ADP
PackageRelease	lp152.1.2
PackageVersion	0.1.6
SHA-1	8EE5F3BE4CBF7DBF90AE4480DFA70371D9888FB7
SHA-256	7F420435F0567C118EBED962385C7E0E09BE251FA71EDDE20724190662BC7808

Key	Value
MD5	1FB91E0AC2B08EF661FE9DE53F05C7DD
PackageArch	x86_64
PackageDescription	Calculate 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>.
PackageName	R-ADP
PackageRelease	lp154.1.1
PackageVersion	0.1.6
SHA-1	02DB751D1A018D1CCAF37AB4F7CF7E52A6D27ECC
SHA-256	00BBF7A5399773DBD93C35AE0B2F8D5225A28ADD7980726F7907DA2AA02C044D

Key	Value
MD5	20ADAC563F98706B8BF9302F2867D3D1
PackageArch	x86_64
PackageDescription	Calculate 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>.
PackageName	R-ADP
PackageRelease	1.14
PackageVersion	0.1.6
SHA-1	F30FE04DBAB940691ED8628DE487385A11DDF3F4
SHA-256	C3B5EE527DCEB9A860D6C3076B5F0CA4E5FC09C377919987F780DA09AB821C19