| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/mclust/doc/mclust.R |
| FileSize | 5978 |
| MD5 | B2F3CB62DC61485B2A6FE6210EBD0D03 |
| SHA-1 | 0772256FC8D9943C167383152E86C32CD41267F8 |
| SHA-256 | 0DFFB5E3EFE80B01BE4FC4AF36D69EBDDA1F22199D9C25B487CC455C809DB240 |
| SSDEEP | 96:sbPOb59gIqJZ+8vHd70UqzQ2p8WGOYjn7lye5959TiEqXqSJvVViO64n:6YCD0RQ2p8WGOYjn7lyePbq6SJvfF |
| TLSH | T14FC110616F3A6E174FFBE4A3BAA05189D73191197B5418FEB05EF2EC070A40DE5BC802 |
| hashlookup:parent-total | 5 |
| hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 03887CCD3F04EE0FF4B2105DED18E735 |
| PackageArch | x86_64 |
| PackageDescription | Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference. |
| PackageName | R-mclust |
| PackageRelease | lp154.1.1 |
| PackageVersion | 5.4.9 |
| SHA-1 | F401367C6B93B5181293BAB44DA3A1DF341F0C99 |
| SHA-256 | F9724EA7C5CC754DF06CBD3011709417004EE27D1BC9ABB283FD6C3B35CE9446 |
| Key | Value |
|---|---|
| MD5 | 21C9127787D4806B675C895F584AD9D6 |
| PackageArch | x86_64 |
| PackageDescription | Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference. |
| PackageName | R-mclust |
| PackageRelease | lp152.1.1 |
| PackageVersion | 5.4.9 |
| SHA-1 | 153733CF8FBCF0F962A7F8248333DF99F2F98DF8 |
| SHA-256 | 4F97B7065C2F77507D820CFA86F7418FD1D2783E7F69988BB10CE44771BA2D3A |
| Key | Value |
|---|---|
| MD5 | CEB4F6B924734058EC3F5FD18BBDB32C |
| PackageArch | x86_64 |
| PackageDescription | Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference. |
| PackageName | R-mclust |
| PackageRelease | lp153.1.1 |
| PackageVersion | 5.4.9 |
| SHA-1 | D1778A531A2EF0E310C4F53C4FAD938C8D77D9D7 |
| SHA-256 | 06A2F900A23ADF9FDAA309A19B7D2A2D9A3CB8B04465415F7EA228C42900FDDB |
| Key | Value |
|---|---|
| MD5 | 23ECE46B3806C6332E4DDD4FD160596E |
| PackageArch | x86_64 |
| PackageDescription | Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference. |
| PackageName | R-mclust |
| PackageRelease | 1.1 |
| PackageVersion | 5.4.9 |
| SHA-1 | 0E40BC0CD0FCCADFDC15BCF08677C064CCE25EF5 |
| SHA-256 | AD7102962ADD9EA3F7029E9B5CCFA19A0FA41729D6C9122384796B9C5EA749C3 |
| Key | Value |
|---|---|
| MD5 | F891E39965BF23159D3C5DD93249DA10 |
| PackageArch | x86_64 |
| PackageDescription | Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference. |
| PackageName | R-mclust |
| PackageRelease | lp153.1.1 |
| PackageVersion | 5.4.8 |
| SHA-1 | 61AC9A941EA38966243A226A18EF14DEB1A80C36 |
| SHA-256 | 0F1DB6E0D40837C2A1C3F887BACA09E2970A0AA1CC9541C0889C1193BAB9D367 |