Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	89122
MD5	07560355A888C368361AB0D151799F5D
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	00770E752F8C5FB157A88D154E3469783D8C9C5C
SHA-256	56FCBE23F2249C0BA6AF4DD02119EA3C73E640201AAFDFE93E917A7F6DEA96C8

Key	Value
FileSize	89264
MD5	C687EFE51317BE1C4CEEBEF64E299A22
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	0164AD6A590499B88DF3A586EAE09C38BA988C23
SHA-256	FB8D499AD325D89763FF545941AE34E6656F36FA7E57AD75489A6F366C6B51A6

Key	Value
FileSize	89254
MD5	8A9014CBE27D6AB2CEF6587DD36FDC18
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	02EB0194C9224AB83725A17C4622369881F403BA
SHA-256	D472F5F0D7A348AD0EB160291D6A3F8BCD202DA637FDEA86765C613331238027

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
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	89426
MD5	78B8C7EB69C27166C68BEC4BFF654EA2
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	388A33BD297FCFCFFFE2A934179A9BF4A733754D
SHA-256	48E0802D8E2B3F7CBDA02C695799D3A4424F3F6ECD7BC40837AB67C8FCCECA59

Key	Value
FileSize	89024
MD5	BD1DB8F6A5E5FDCE14B05F2449A02128
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	55192F9A78060F356DB23169E17A2C7C1D98A56B
SHA-256	B86D8906BD80EA6A0BEAE0FE912AA0A8673FE2E9C5EC71742DD025ED34AA14B0

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	90598
MD5	C49BF7326A78CDF084B01831FB83A593
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	65CDD9343BDF173EC49857B43CA2982DE72F66A1
SHA-256	01BD2A9AD5765B10B9CAC5D62039D93AA6CBE4A191F2EE8798AE4351B4BDC631

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