Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/msm/Meta/nsInfo.rds |
FileSize | 1145 |
MD5 | FD2FD701F0E648A84DCDA0269F34F31D |
SHA-1 | 5115720BF1CCE4C9FFA219ACF3567FC2CE087B51 |
SHA-256 | 110A7CEC782151D62AB2FDBE77938A2AAF9EA2948FAB95BAC02061ECAF234FCD |
SSDEEP | 24:XQbpP2+fqSxE5wCruj8UC8hWMUEKtpxbFHnu3mEQg0xC:Xy52+fqSCWCKQUCoWpEKtpvH4L0k |
TLSH | T10D21C650BD0F24B3E3E0D23643FB24C24ABAC13A31691ED7F8FD89A92225050425042A |
hashlookup:parent-total | 9 |
hashlookup:trust | 95 |
The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 1471328 |
MD5 | 348AE655BD3C9DF91DF915F3846B2EEA |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 712408F9FF68F3C542CA99F812A3AE54A2EE536C |
SHA-256 | D6E4784EB5731999BEBA054183A28DA32BEC55A499B2B04486DB78D9C9F7F7B8 |
Key | Value |
---|---|
FileSize | 1470860 |
MD5 | A3CC5D4F5E1DF34A3395B54B387710A0 |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | C9ABDC4B224FDBB75438E6BCBAAACDCF48466022 |
SHA-256 | 56A8E6ECF996D2E67D903E93D7204C9DC4A8897D061C5F14C98D03413C12821F |
Key | Value |
---|---|
FileSize | 1465352 |
MD5 | 628AB30D0092A086A18D733C4FE5F1B2 |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 8775DF175799170EBC50286336C61B515A596868 |
SHA-256 | B6A474C25CCA9DFCBA23058D6592072E3C39B41AF4660328893C4DCF1EA90AE2 |
Key | Value |
---|---|
FileSize | 1466836 |
MD5 | 12687D98850A0E298C26C0E2CC344ED7 |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 30F7DB0847F85A7A23CF413BAFAEBBAA9BCC6338 |
SHA-256 | 279160AD606FE9C1396268ED4B0FF7C9E81000C3FF7DC5C6772FB9BED5D26267 |
Key | Value |
---|---|
FileSize | 1469596 |
MD5 | 9FFEBD7A21D3E0B655C90550F72C1654 |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 96289B93B5A626D48828683FD36C7561EABC31BA |
SHA-256 | BBF1C548FB2EABD659B8529496F59BA88967A732C7FC77CE7D079D48A6E6BA49 |
Key | Value |
---|---|
FileSize | 1461832 |
MD5 | F8A6715A5E20A861AA1A5CCDAB59568C |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 3A664735D218C003D92D9031F0B6230FF805883B |
SHA-256 | DF9945375D44AA6822E4FD46EF4D1784A8220DBEE5B8AEFBA61605826D99F5F8 |
Key | Value |
---|---|
FileSize | 1461252 |
MD5 | 5609A481A085E88D3DEEBC3E3E3B8375 |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 06717FC334676C321668FAD7455DD74A06403434 |
SHA-256 | 6DE98EAEB0D32EF086C95FED206EA1CE46FDF9EF0E653D3723783A33D9BD4650 |
Key | Value |
---|---|
FileSize | 1470012 |
MD5 | 7F81EBB24566214812D5B2B0BEA4DF9F |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | 3633141AF4047FC4ED3D9BC1FDD31D6E3E3775F8 |
SHA-256 | 96A796B372E8D09013486EB982FC468C3EA8395F6EFEED8EAEFB29D995D8EC30 |
Key | Value |
---|---|
FileSize | 1465980 |
MD5 | DD4004D2B4FFD643AA8B5BEC9A6DECBA |
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-msm |
PackageSection | gnu-r |
PackageVersion | 1.6.8-1+b1 |
SHA-1 | F57F0F1524DD775412B550FE667D9BA198BC918F |
SHA-256 | 00132DD1D8373131AEC1E0C1E550777DD8ADD9527CB9865B9AC9A7A09609B7A4 |