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FileName | ./usr/share/doc/r-cran-msm/tests/testthat/test_analyticp.r.gz |
FileSize | 1558 |
MD5 | BE6FA5CDD8DEFC0254C7021567B136D2 |
SHA-1 | 2F1135B6F000272AFF3BF658B16B70FBE8DB2CD2 |
SHA-256 | F0026BAE312CEFB0DA92FC32314C4B91A648E5C8748D9A53979C5D0EE036685B |
SSDEEP | 24:XxL6iPWR0I14715dr4lhL1tpbMAoS6IlqwKdPkvGAG6iJ+X0QTXxm:XIiPWV1QPr2tpwDS6EKdPhKiAkQlm |
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hashlookup:parent-total | 16 |
hashlookup:trust | 100 |
The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 1059842 |
MD5 | 72CDD1E7371B207D1A660BB47741E5AB |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.4-1 |
SHA-1 | 037E8100EEFFC3AFF20CF8A9E5924A99BAD2EB71 |
SHA-256 | 3D04B7DFAF1246FD9DB8446B72324C0582A08ECF04024D3697B97F536FD555D2 |
Key | Value |
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FileSize | 1063186 |
MD5 | 0693DCF72319498A604EF4BDCF3AD8D0 |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.4-1 |
SHA-1 | 0581E9B5FB472FBAF99AD8E1826B00AA7FCEBC83 |
SHA-256 | 8D7FC38CB624BF3E280DC040D123164628255553902B34C1B8B06E0A0359000A |
Key | Value |
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FileSize | 1058734 |
MD5 | 4F3DB4D44250A03C6BB2F397FCA4DBF2 |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.4-1 |
SHA-1 | 07B3C7E896C3FA14FD2239961F151292754A46FF |
SHA-256 | 8BE730F15EAACD56D94F056097FD423101366A643636772F64E2AEF506ADB01C |
Key | Value |
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FileSize | 1063510 |
MD5 | 3B19FC45431E8553A2C81C7E57E16CE5 |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.4-1 |
SHA-1 | 17007C4EF66CD713A6BE22474719BCE95B1A15D6 |
SHA-256 | 84B5B2E46DB712ECDF49FFB35BDE70016DC2CAB0F77657673C195A2A7D963B84 |
Key | Value |
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FileSize | 1064948 |
MD5 | 9EEF2FF62602B7BA7B452CC75923C28D |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.4-1 |
SHA-1 | 2C04D4FD296BDA33FD6DDE58842FDBA96544E609 |
SHA-256 | 21DF30000B8042326E246D4E4B250485638BE4F96CA0E3BF67E46E9838CBABBC |
Key | Value |
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FileSize | 1051926 |
MD5 | 47CF850E956A45D7B721BF59A880189D |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
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SHA-1 | 2FEFD1AD90D3767282BA81BB41907C112799FD3A |
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FileSize | 1032638 |
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PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
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SHA-1 | 309431634F77C86D1BC77D585FC34BFCDEAF8303 |
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PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
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Key | Value |
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FileSize | 1002904 |
MD5 | 2CAC2CCCCBA77E966F4DEA7D26C189F9 |
PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
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SHA-1 | 34E0C5A2550E2FCD9B58E9F3628AD2CAAB4E721B |
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Key | Value |
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FileSize | 1037502 |
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PackageDescription | GNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6-1 |
SHA-1 | 38CCBAAB7C83D81DE62B4CBDAABB0E9686D542BD |
SHA-256 | 4E050F8AFB948621845BA78F2EDBFC4F8452C09A2E20FBDA3F18CAA62465CA19 |