Parents (Total: 79)

The searched file hash is included in 79 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	636848
MD5	6E4061BED3903DEBE1E4B7641AF55755
PackageDescription	Bioconductor resampling-based multiple hypothesis testing Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	r-bioc-multtest
PackageSection	gnu-r
PackageVersion	2.30.0-1
SHA-1	00524583C48D7B173E1E859794C0963339A52484
SHA-256	E89D8690422A0AEA87758081DCF7072E5E77F7444D6A374CDFBB20A7D2F39280

Key	Value
MD5	505EFF2E4CF11B7E3386E2ECF15412B2
PackageArch	armv5tel
PackageDescription	Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
PackageMaintainer	Fedora Project
PackageName	R-multtest
PackageRelease	3.fc15
PackageVersion	2.6.0
SHA-1	00C7C19501E6141E204FBED7CC03AD11F5BBF277
SHA-256	EF2D76EF2A69F8B19755C5F57B3427E1433ABA5AA4822E73E03ED6008EF77977

Key	Value
MD5	0E49DCCB6F82FBAA71741FE77CA270BB
PackageArch	s390x
PackageDescription	Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
PackageMaintainer	Fedora Project
PackageName	R-multtest
PackageRelease	1.fc16
PackageVersion	2.8.0
SHA-1	03412DDABE5094B813E2D4A473E08CE490CB4085
SHA-256	A3081039B3E952428F08529836C54926D0FDA15A5B7B2940BE862E36A91B7F69

Key	Value
FileSize	838176
MD5	B1D8F0DB8B331751D1AA3D577DE184E7
PackageDescription	Bioconductor resampling-based multiple hypothesis testing Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-bioc-multtest
PackageSection	gnu-r
PackageVersion	2.38.0-1
SHA-1	03E0A9E5D88B6044AC771CB4B9BCB4CE15BF660B
SHA-256	8F38EAB97C749A955D143B397691E391535A616C1C8F7E5327E597FF787C6B70

Key	Value
MD5	26C86DE160E5B694EB625315E473598B
PackageArch	ppc64
PackageDescription	Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
PackageMaintainer	Koji
PackageName	R-multtest
PackageRelease	1.fc16
PackageVersion	2.8.0
SHA-1	057D5F0937EBA251DF2002D7DD7F27A0E2963C8C
SHA-256	400F1C24F887F7BD231D47D3762B2B0235B4ECEF1F9B17C0F6CF80EED24C4CC2

Key	Value
MD5	49A7CA2FEB714FA6ADBFE99129DA4412
PackageArch	s390
PackageDescription	Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
PackageMaintainer	Fedora Project
PackageName	R-multtest
PackageRelease	2.fc22
PackageVersion	2.20.0
SHA-1	05CD6BD7EF37EFB4635EF2B7837844D6097E62D9
SHA-256	506DDD679D6F434FA2EE286D21090998EF0DFC8EB53E5C69CB26020D9615EAC4

Key	Value
FileSize	633666
MD5	9BD12C984B19F3928ED168EB5B655691
PackageDescription	Bioconductor resampling-based multiple hypothesis testing Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	r-bioc-multtest
PackageSection	gnu-r
PackageVersion	2.26.0-1
SHA-1	0824CD720ECE72C4228C2CB4A43CC36AFC921CB7
SHA-256	6EA96B47A121C5EE8DF0F3A0E1BE5E0571F59F9A504CDE01B4F9015776A1DA4E

Key	Value
FileSize	838036
MD5	76B04FD9DF52BAEAC05BA8C660B4F607
PackageDescription	Bioconductor resampling-based multiple hypothesis testing Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-bioc-multtest
PackageSection	gnu-r
PackageVersion	2.38.0-1
SHA-1	0C9479E8515B2DE268874719ED71B022FC5F9E60
SHA-256	E7F3990CD58AD07FB43EE95798C5EC9B095902904ABECC64D1663BD414D108C1

Key	Value
MD5	5A64714BEDF32A9B137F43F76966DEB6
PackageArch	armv5tel
PackageDescription	Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
PackageMaintainer	Fedora Project
PackageName	R-multtest
PackageRelease	1.fc13
PackageVersion	2.2.0
SHA-1	12730C0979477D0C2A03034126AB1B377A636E82
SHA-256	46AC49DDE86DE05FD3AC741AE5A4105C067C98D51A797C597E8B7CF19982F0D8

Key	Value
MD5	DC9154C1F81D0CAF3DA53FBB358E8C11
PackageArch	aarch64
PackageDescription	Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments. This Library is a part of the Bioconductor (bioconductor.org) proejct.
PackageMaintainer	Fedora Project
PackageName	R-multtest
PackageRelease	2.fc22
PackageVersion	2.20.0
SHA-1	16F165857CC3F399B3D489FC8F3DBA1EB3F4353D
SHA-256	DFB0BDD2188B87784ED2C182587D1C4753638B6E5A181E93C7651AD98F3E8C64