Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	120172
MD5	F4BFF10A4994FCAFECCEC47E3A5980C6
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	D370048160D9D4223AAC0D373BF1B9ADC6C4D493
SHA-256	8EB855289BE2D1BA97E37C24A710BFC89C594C65E64293621E6BCAE01B39A81C

Key	Value
FileSize	121384
MD5	75386E8E8B34348686EBE6D69B65335C
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	BABAFBF994093ED1B508937C8E634107303A77FA
SHA-256	3618145D21A901EA9233294CB6018DFDD3D664EE76DDEB8AB33842263E9A0A45

Key	Value
FileSize	120084
MD5	749CD19C7B71BA6CC62A71A1C9BB8308
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	58815F0D8CC9CB422793ED398BA3B08408DB81EE
SHA-256	F293630B41EBD3C2CB67AD3DD42CD17013443D9252AB17AC6B07D6F7C37A7FB6

Key	Value
FileSize	120208
MD5	4B08995EF4D1A9024E56BB49718431C9
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	3722DFA1F8C9A8A7CDD37F1CF066194D7505C09C
SHA-256	CAE35212A909340DBA0293453B7B0FFD0808D16CCD306867129BF71A000FB00D

Key	Value
FileSize	120212
MD5	8DE168A31C749F75551233076F66DC0A
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	DFD9CA04025DE61015E2E6FC77F333289FF57A61
SHA-256	C947BD07087662E9B1047D7DD914402A704CD7F46D072BAAD33E6FCDB45AAB57

Key	Value
FileSize	119944
MD5	CA17F866F2F8F3BC0886CA58F26D827D
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	DE4A4ED61DE0B66C0A33AB58BDC35DE7AE85E96E
SHA-256	B18BE9F873B04443CA3DA5DD3095222B3923BCBF313BEDB28C5115A52BDBCC2B

Key	Value
FileSize	120232
MD5	EB74BF9B92220512A46204CE3B8BDE8F
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	76D0A75DBE406B01133CB36FE1CBFCCBFFCCB2DF
SHA-256	394389A76975853A020F4C12AB6E72848047E6A91A9B5BD534D0553952CAB23D

Key	Value
FileSize	120036
MD5	BFE3D6722E3A6BB386F0BAE22A45CB2F
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	8110327DA78B62231124CA0F10A52C454FBC0EAF
SHA-256	337A7D6C40F64D3D1BD69021447FAB3758B47C1B406EA2CE4A3A04C98091CD0C

Key	Value
FileSize	119892
MD5	8792554CBDC11EC2C09A09ECFEDE2AFC
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	73DEA012514910274983A09A6D769EEB5893F099
SHA-256	935B20945DFACD356D4FAFA04E56A81E6BD0DC46E9F05AC671555F5FF9F4FE98

Key	Value
FileSize	120084
MD5	76903C6A5349B593C7CF6A5194A83A50
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	0FC9CA99E9BFC3A19EB101D07D6130268E4D9C52
SHA-256	D7900881D1AD547231F2B91909C16570AC3838A016E0B5116D2F2A26F1839216

Key	Value
MD5	0286855345E1B2A8E09FEFF96AB19FCB
PackageArch	x86_64
PackageDescription	Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageName	R-brglm
PackageRelease	lp153.1.1
PackageVersion	0.7.2
SHA-1	27745A2702479F4C311FA2E69524E2536D950E53
SHA-256	D7F60F07C295DA20CC1A5D641CA14ACDFA8D623E998221CB22D2340921AC2C5C