Result for 1B82CE9FF7B8C9CB0FAD939AA8D81352C4823E75

Query result

Key Value
FileName./usr/lib64/R/library/sccr/help/aliases.rds
FileSize152
MD5B4C42091E0E64219D16055A3461C4A58
SHA-11B82CE9FF7B8C9CB0FAD939AA8D81352C4823E75
SHA-256C4D6CA43469655A2214FB1A2C9584EAF841CD8D8E66939C91DEF4C792095162E
SSDEEP3:FttVFD/EWOjf9hd5pcSFUcLNj/VSsCP0S3uGG5DkkMolX8dDBJc4UzX:XtVFDjOJhNcSNBFC8euN5gkFls9NkX
TLSHT137C08CD82B212021F4A58E308A90115CE4CADA21D6501DE264205072A2D12028AD3EA8
hashlookup:parent-total4
hashlookup:trust70

Network graph view

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