Parents (Total: 9)

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
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

Key	Value
MD5	F35201A9EC1CB169413B6A68B5612206
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	6.fc33
PackageVersion	1.6.8
SHA-1	E1886E23185C53604258DB31111FA27D52A3D1FA
SHA-256	DAA6495B148847E4013076FB4F0FB687BC60F8393FD8BF4519991ADA7752922F

Key	Value
MD5	4C9354E9DFD1B93A40CA1911BF5E6C72
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	6.fc33
PackageVersion	1.6.8
SHA-1	607EA9CE8A1821786FE5B97F904D2E45E9A484AA
SHA-256	015F5C19DE889472FC18335A8741964093A0A413B232CC4A7115EE632A21A645

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	E5B53F8BA41F5D031B02AC3913673B77
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	7.fc34
PackageVersion	1.6.8
SHA-1	7C6FE4E12F81881AC32B5889819B32C33C2BCB38
SHA-256	3FAB4BB6A6222B9EE3F019DDC0F5BAD852D6676C5300C5E9B73424CBA08256BD

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
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	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	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