Result for 25FFB06858A3A94BBF0E9D36BD1D892C535C9C20

Query result

Key Value
FileName./usr/lib64/R/library/sccr/html/00Index.html
FileSize1862
MD5B2821ED8E045CEA88CDD6312FF12D649
SHA-125FFB06858A3A94BBF0E9D36BD1D892C535C9C20
SHA-256D05E29C19AE1388C99B508BAE0C9CBF2A2E00F0BAB972802A7D4A8985DBD086C
SSDEEP48:lmIzPpqpLkK4/q9VPKtHIt2Vot+wtHLoAtH2UAtBkHO:1zAeK4/qP6Ux/HroBkHO
TLSHT17D310E65A8D1183DA09115E696C03E6813C253F56B222E44EA2E7CFFDA017DAD3712DB
hashlookup:parent-total4
hashlookup:trust70

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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
MD587B1BEA9ABF24DA48C9D499E9B33859B
PackageArchx86_64
PackageDescriptionThe SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
PackageNameR-sccr
PackageReleaselp154.7.1
PackageVersion2.1
SHA-159997771247411AFE0FA4B193828954050DD5B1E
SHA-2563ACED1A84E6BF802E54EA1F1BF87A77131261348D7FDC32F524613FEA69FF1E7
Key Value
MD55260E3E8ABF79983CC3CF7512EE195EB
PackageArchx86_64
PackageDescriptionThe SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
PackageNameR-sccr
PackageReleaselp153.7.2
PackageVersion2.1
SHA-12F54A9E063285BC3E344128F5F69770C44393BD4
SHA-256D14D14A6D272E0D82B125391165343224CB264F110070304A36BE9D9D0D627B7
Key Value
MD536536C29C4EFE73F6FBB75B14F936A1D
PackageArchx86_64
PackageDescriptionThe SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
PackageNameR-sccr
PackageRelease7.15
PackageVersion2.1
SHA-102A03DF90A0117C4668ED75A9F7BFAF7396C05AE
SHA-2566270BE253497A7202AA7330CAF51CB442DEEDC7D24002D709A693C38EABB6784
Key Value
MD5946A8BC38E92BFF5C4666BE956611E2D
PackageArchx86_64
PackageDescriptionThe SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
PackageNameR-sccr
PackageReleaselp152.7.4
PackageVersion2.1
SHA-13F49B5C22748B8FAD1C86DF5CC65D4E611F622D8
SHA-25663A1382999DA73E6983F555CB57BC4CB95C2D71F46641512FDE7CB99CCB40E53