Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/multtest/R/multtest.rdx |
FileSize | 1651 |
MD5 | A591DBAE136ABE0FD57637BD2F76E628 |
SHA-1 | 469F59CDFC2589393C9613759818923AD74BC277 |
SHA-256 | 3BB60F033A059D1F1ABACD0E348F5D7EBD2847DB1FA6331DCA3A6B3C09EB831F |
SSDEEP | 24:XwrYBekv6VDsF2XmwmPtzK2vW1IMg0gZRChKO77fqTG4NQZAmPmxnkn:XgbYmZmPt+sW1ITRMKOffTxZ/Otkn |
TLSH | T1B431F8CB76A3FA1F4F400B7537AB6F869337264A2F4073560354666062C0B460C79BC1 |
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 | 835408 |
MD5 | 707F4A5DE7940C95502A51F23C43D50F |
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 | EFB76D87E7E1C7595F7A72C70255D978B41A7229 |
SHA-256 | 3F595FF2000307A2D36780125DF2DE39F8110F58A989F55B01C201F4C4D9AA1E |
Key | Value |
---|---|
FileSize | 837228 |
MD5 | 0AF73D8DAED9E47972574FD80715A1F6 |
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 | 3BF5A062C657F03F4EA96941B6C9B01AE8CCE2C5 |
SHA-256 | EAD0BF48142A605060194A123934F7DE773B93D205ECCBBE1A05AA3B17C094B2 |