Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1471308
MD5	E284551DB0D3E3D8E2BEFEB1577B9F02
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	1.6.9-1
SHA-1	A8FA1510A0A471524B7727314B16369715AEDB1C
SHA-256	9B62135113AC0DB67476DAC37CC30757D4810A7E36861912D20735B19B3E4650

Key	Value
MD5	225CB7695CCC006F0A6E98A6F8219221
PackageArch	x86_64
PackageDescription	Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageName	R-msm
PackageRelease	lp153.1.2
PackageVersion	1.6.9
SHA-1	32581E3764DEBC5F1F771AADBDF7E4F84A3E1869
SHA-256	42EA47808C1C7DE33DEF8ED06A3DDAD5AA2413911C15E6DB660EC77705455617

Key	Value
FileSize	1467196
MD5	EBAB50321FFA515A268A8673DFDD03F5
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	1.6.9-1
SHA-1	B897FB781AE5C92E0CC08C056AE435BD9C171953
SHA-256	640E2E589CFDD23A5C8635020E7B465343294A7C2AD715838332EA19F5F390E7

Key	Value
FileSize	1472032
MD5	D8B2D1D71D3C833B9CFA695890CEE741
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	1.6.9-1
SHA-1	67A434CE2DC0FE7C631F5C8DBC715D7A401007C7
SHA-256	AAF8F243631A46A71529554D8C983F297AB454A6663C743BF79055F8752BA622

Key	Value
MD5	B49EA7BCA3EB56DBA2A7B06F0B439D89
PackageArch	x86_64
PackageDescription	Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageName	R-msm
PackageRelease	1.7
PackageVersion	1.6.9
SHA-1	D7592E93984D7A467A960D5B56F8EC758897F2FC
SHA-256	E4A2EAA4ADDD5D0D1C9C8D33A5794E67254DED0ECC0F477949756AC7C86C81C4

Key	Value
FileSize	1469312
MD5	D7F24FEB4E0D21763CA0E8ABD8C2A81E
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	1.6.9-1
SHA-1	DE046C8CA72E7DE8506183C86E3E4173D5C8AAFD
SHA-256	8CE981ED789427D8F718903D397A2BEA3457F63A08316FA117CA648016FDA2A9

Key	Value
FileSize	1470668
MD5	CD384950B3E05070934FA238D797BDB0
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	1.6.9-1
SHA-1	3AF2724481F261D1D4EDBF9F136CDDCD8A84B2CA
SHA-256	0707C5CBCD59777676347EE3A155D68A0AE5371995812426380071DF5F2D2AC0

Key	Value
MD5	080B633AF144E21E8E7B25AD022CDD33
PackageArch	x86_64
PackageDescription	Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageName	R-msm
PackageRelease	lp152.1.2
PackageVersion	1.6.9
SHA-1	AB259BCD2522F085EC625A5EE13FFA7C35137119
SHA-256	1C02EA4250C70D3024AC92DFA681071C81EA4D754A3E2357439444E6F66D826C

Key	Value
FileSize	1465712
MD5	D7279B27C0C9FFB1262D360CD73C9B90
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	1.6.9-1
SHA-1	B4E2131B84A68869BC56D36C639377B6636AED7E
SHA-256	AE5DAE1132D93F194D570F7ADD71249CE7C00481E41A974CDF0991C69643E238

Key	Value
FileSize	1462372
MD5	30490AD1B2F1C4800EA8518EF76907E7
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	1.6.9-1
SHA-1	1E64A8CAE439F2CFD094C3B5019E66B0F0DC1D30
SHA-256	7CAF2EDF419D7DC00B3E093664D5D2E3D7F5AFE77A449769BB1F6D8A1B1FF6F6

Key	Value
FileSize	1472732
MD5	D6802047684465489C054D5DA7FC41D7
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	1.6.9-1
SHA-1	DEB028AEC7AD03BCE58EA0AC95E170970D4272A9
SHA-256	CF6CA70A14592C03A63B4899061EA75FC1BA2744596A469C406BDCAB7E35A421

Key	Value
FileSize	1460532
MD5	03D0D5C24E908792D134E59B186BFFC3
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	1.6.9-1
SHA-1	E39F708ABBE9C8B5477BEEE121477D77A52AB315
SHA-256	CAC6FDF110E7E37955DF096B53BA50EC85F48DFAC40974CF205D89746FC016CE

Key	Value
MD5	E31A54DEF8E644DF4A730D022274E04E
PackageArch	x86_64
PackageDescription	Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageName	R-msm
PackageRelease	lp154.1.1
PackageVersion	1.6.9
SHA-1	D588D246749D538ED1BA9AA415B5DE2D5676B5A1
SHA-256	298411E9D4682D215A00C3E96206EA61E986A1920AA78DBC430CBE389FC0B274