Parents (Total: 20)

The searched file hash is included in 20 parent files which include package known and seen by metalookup. A sample is included below:

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
MD5	6FF5BD24FF2B41558E0E5DF9C7816215
PackageArch	aarch64
PackageDescription	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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainer	Fedora Project
PackageName	R-msm
PackageRelease	7.fc34
PackageVersion	1.6.8
SHA-1	27A9DF69871153AABC77DBCCE9391C8D28287662
SHA-256	86A0E79CC0BD019710640F162180B45514CC04AC7F5234F45D2C5555D7BE9772

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
MD5	9E71EB6864363FD488FC38F0372B14F4
PackageArch	armv7hl
PackageDescription	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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainer	Fedora Project
PackageName	R-msm
PackageRelease	7.fc34
PackageVersion	1.6.8
SHA-1	31A35D0EF0CB70A603F00DAF516DDE27AA17441C
SHA-256	F82CA747743DA33E60DAEFEEE545252EA074A6629EC58DA9B931823C78788CF6

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	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
MD5	C60717E27290397E60CDE176AE05D1AF
PackageArch	aarch64
PackageDescription	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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainer	Fedora Project
PackageName	R-msm
PackageRelease	6.fc33
PackageVersion	1.6.8
SHA-1	3FD703FABCF2C208E1B2808B2CCB4497999A1F67
SHA-256	3A710932062EC546DAB551E9856F4043F6409176EF5B9AE72C2FF4F9D12B997A

Key	Value
MD5	0ECB6030C926EC4071F29061DF11A412
PackageArch	x86_64
PackageDescription	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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainer	Fedora Project
PackageName	R-msm
PackageRelease	2.fc32
PackageVersion	1.6.8
SHA-1	5848536C8274B44F2FA8D6C575D1F08781B4F6AB
SHA-256	DFED899286ECA10B20F2415EFD9B44E9098E2DD0D14276D35F9158F364FC5E16

Key	Value
MD5	7A09CB3546F8BFB3EA3C66F35A787FAE
PackageArch	aarch64
PackageDescription	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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainer	Fedora Project
PackageName	R-msm
PackageRelease	2.fc32
PackageVersion	1.6.8
SHA-1	5C1DB37F972034990E953A0D4C2788B87CCC719B
SHA-256	D182072511C750E61EBDE48101AC73CEC3E93902329C050ABC4A1E3694989189

Key	Value
MD5	C511B01C4483AFBCD2889B048C27BEF1
PackageArch	armv7hl
PackageDescription	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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainer	Fedora Project
PackageName	R-msm
PackageRelease	2.fc32
PackageVersion	1.6.8
SHA-1	5F3555025CA3A81032926E17872395E18EB606EC
SHA-256	7CB8E1A6D347BD9C1619402F5CEA5BE3CCF728AA84FEE37B6CEE5AEAD4E69343