Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/multtest/html/00Index.html |
FileSize | 8813 |
MD5 | B168705A5412B28B5F1BC77D4605C60F |
SHA-1 | 571FAA3ABFD92F476DFFD0205F435AE4DA494BB2 |
SHA-256 | 544371091AAC4908AFEEF08E990DA8A6C9AB4C884C888097B50A719477709AB9 |
SSDEEP | 96:1zixIK4Jes5M4jnzrFnzrcnzE5MuJi+ZFHonzrKnzrmnzrxnzr/nzr5nzrInzk5Z:IxR+ekMgMouMlMdFF6GOMYg |
TLSH | T1BF026983E1D3563D0619435E86953DBD53A902E127626F80CF7BA8F7EB426F183212D7 |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
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 | 632854 |
MD5 | 505CBD74CFFB613473AF55CA076EAA8E |
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 | 9E2F8E6580D93C49172F6807526325F05FF47C13 |
SHA-256 | A94EDFA50BBCBB6F344218A0DB5776DF435496D1F9A9FEEE107A301926F0F60D |