Result for 02C6622A7A2761EDADF443A6B1D7FD763ADBD9A5

Query result

Key Value
FileName./usr/lib/R/site-library/nitpick/Meta/nsInfo.rds
FileSize197
MD52E062D9A60D3233886E0334A18E905D2
SHA-102C6622A7A2761EDADF443A6B1D7FD763ADBD9A5
SHA-25638E97628203211814F05F7DE2C44B9A1616999A89054ABF41A2487E35AFF6426
SSDEEP6:XtVFO/Ynne2cmbMQk5GlLoicUKMPz9yxPlll:XMAnne2cmbM8BAMPz9y9t
TLSHT125D0222C27F26CA1ED03003D2187867CC80C0063822060423A004E86880A8208BEA6BC
hashlookup:parent-total12
hashlookup:trust100

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Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize15472
MD542F8D93E0F90949C4F1D12E4513E2E86
PackageDescriptionefficient calculation of accurate masses and abundances of isotopic peaks This GNU R package provides efficient calculation of accurate masses and abundances of isotopic peaks. It is a precondition for R NITPICK which does peak identification for mass spectrometry data.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-other-amsmercury
PackageSectiongnu-r
PackageVersion1.3.0-2build1
SHA-1679642E8744361A4767A71C18C712816B1ED8C81
SHA-25620240DE4FA9D1AE75B58E8AB76CADDCF56A2C7B23372EB10D5AC1F7F085234D7
Key Value
FileSize1075912
MD57364AD7284DE63C1C319D645D7E55A07
PackageDescriptionGNU R functions for learning bayesian inference LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-learnbayes
PackageSectiongnu-r
PackageVersion2.15-5
SHA-185D8E0EE4191B143E4025F00524F3CF6CA59DD51
SHA-256191BA3172E736D8A1972BBEBE2745DE6F391024E9A1DC6525E56640E2563E51B
Key Value
FileSize53668
MD52649744344DFF3E0C30187B9E35325E4
PackageDescriptionGNU R fast cross-validation via sequential testing This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating underperforming candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-cvst
PackageSectiongnu-r
PackageVersion0.2-1-1
SHA-1B6C0A948D80761FA728A2500B10E23B87CCF9679
SHA-2564B8CE3F35825B79C4E6FA49A545F97B8B63856F3C1BFE419389242C3DAAE1391
Key Value
FileSize76924
MD5D54BD5804CA5C05991CAB872217A18D8
PackageDescriptionmedical diagnostic test accuracy analysis toolkit DiagnosisMed is a GNU R package to analyze the accuracy of data from diagnostic tests evaluating health conditions. It was designed to be used by health professionals. This package helps estimating sensitivity and specificity from categorical and continuous test results including some evaluations of indeterminate results, or compare different categorical tests, and estimate reasonable cut-offs of tests and display it in a way commonly used by health professionals. No graphical interface is available yet.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-diagnosismed
PackageSectiongnu-r
PackageVersion0.2.3-5
SHA-198E57CE926ADCDA793BE5F673FB8EB7A6F429A69
SHA-256BCA58073E8DC8B841FE6EB82B98029520A7710AE8CBBD8A5943125E1F0E137B7
Key Value
FileSize82716
MD5AC464BB4CD58B74B2051F1C2E40066EF
PackageDescriptionGNU R procedures for psychometrics This package includes several procedures used in psychometrics and scaling, including: . * Cohen's Kappa and weighted Kappa (two-rater agreement tests) * Cronbach's Alpha (an item-reliability test) * Focused Principal Components Analysis * Intraclass correlation coefficients * Light's Kappa (an N-rater agreement test) * Screeplots and graphical representations of principal components
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-psy
PackageSectiongnu-r
PackageVersion1.1-3
SHA-13A979C69312C7264B5E9B80AEA38959514BAF557
SHA-256AB5FBB031AE0C69367D52BC5E6744AA66457BE7263B4448546F30C987CD5143E
Key Value
FileSize51176
MD51A30E680CADFB9B55F3A3A5838389A25
PackageDescriptionpeak identification for mass spectrometry data This R package allows reliable extraction of features from mass spectra and helps in the automated analysis of proteomic mass spectrometry (MS) experiments. . This is the NITPICK implementation for peak picking in MS spectra.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-other-nitpick
PackageSectiongnu-r
PackageVersion2.0-3
SHA-16B890B64CEA4A9916CCE8FBD9549B7D970670C0D
SHA-256E43F8F1A5977F06FB7E9A5D2E02090AD4F280EACA3A6057309F58C0400C34B64
Key Value
FileSize15184
MD59E2937CABA115423CED3C3BD944B2810
PackageDescriptionefficient calculation of accurate masses and abundances of isotopic peaks This GNU R package provides efficient calculation of accurate masses and abundances of isotopic peaks. It is a precondition for R NITPICK which does peak identification for mass spectrometry data.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-other-amsmercury
PackageSectiongnu-r
PackageVersion1.3.0-2build1
SHA-1BFC383478B6748B0EEAA556A3D45B5A4FB0F4C2B
SHA-256F30F0619669A81F59D7B261739D1725E62FE5112E2DB4B8BA077774A883BD8D5
Key Value
FileSize191520
MD5361B96C168C019CF4C7C2AC16AF2DA7E
PackageDescriptionleast angle regression, lasso, positive lasso and forward stagewise This GNU R package provides efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitessimal forward stagewise regression are related to the lasso described in http://www-stat.stanford.edu/~hastie/Papers/#LARS. . This is a modified version of the original lars package by Hastie and Efron, providing a LARS modification for non-negative lasso.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-other-iwrlars
PackageSectiongnu-r
PackageVersion0.9-5-2build1
SHA-10F6734350D1906A5571D9F508A2BDDB3C553FB21
SHA-25677A82BB50FFC1B4CCF2A6326CD03C17E22B2843AD27AE498F37C2D5BFE0723C3
Key Value
FileSize191684
MD5CC0DED83FA18AAAF942DC801F817E491
PackageDescriptionleast angle regression, lasso, positive lasso and forward stagewise This GNU R package provides efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitessimal forward stagewise regression are related to the lasso described in http://www-stat.stanford.edu/~hastie/Papers/#LARS. . This is a modified version of the original lars package by Hastie and Efron, providing a LARS modification for non-negative lasso.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-other-iwrlars
PackageSectiongnu-r
PackageVersion0.9-5-2build1
SHA-1CCD02CB2E1BDB696708F3F75CE5D695D413285DA
SHA-2566A46027B0F4B4295098A0456F35B1EC94512D3653333BC1D0E77044DF1B2DA76
Key Value
FileSize12932
MD519A3EE96043C64F9B347750C0E63B30E
PackageDescriptionestimation of confidence levels for peptide identifications This is a GNU R package for the Analytical Chemistry publication entitled 'Estimating the Confidence of Peptide Identifications without Decoy Databases'. The function curveFDR(scores) fits a gaussian mixture model to a score distribution of peptide identifications and thereby allows the estimation of confidence levels based on the false discvory proportion.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-other-curvefdp
PackageSectiongnu-r
PackageVersion2.0-4
SHA-15674279CC546E470008872681CD78865A657F33E
SHA-2567616788102B1E7436502F9EECC39F22168635ADC8BFDBF03DC47DDF901D90359
Key Value
FileSize2596328
MD503AC84879071CFE7E86D3915D419DB24
PackageDescriptionIntegrative network analysis of omics data The Mergeomics pipeline serves as a flexible framework for integrating multidimensional omics-disease associations, functional genomics, canonical pathways and gene-gene interaction networks to generate mechanistic hypotheses. It includes two main parts: 1) Marker set enrichment analysis (MSEA); 2) Weighted Key Driver Analysis (wKDA).
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-bioc-mergeomics
PackageSectiongnu-r
PackageVersion1.6.0-1
SHA-123EDA716CF39196529F49F63471F6F6888350426
SHA-256A84C7AFF984F56201E54874FC267BE78B1BB87D6BC13734EA91343777EAF4CBF
Key Value
FileSize2423524
MD53B1342C81FF2FBB2547D35D6FE400444
PackageDescriptiondata package for genome-wide SNP association analysis The package offers the R library GenABEL for the hunt of genetic contributions to a disease (or any other pheonypical trait) by so called genome-wide association analysis. Additional input commonly comes from DNA mircoarray experiments, performed on every individual, that determine differences (polymorphisms) in the population. GenABEL finds associations between quantitative or binary traits and single-nucleiotide polymorphisms (SNPs). . GenABEL.data package consists of a data set used by GenABEL functions.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-genabel.data
PackageSectiongnu-r
PackageVersion1.0.0-2
SHA-1E0513F4EEDEF3618684AE29A0197031CCF3DDB04
SHA-256E5490E0FD45EB4E4093A382FAA725926FCDFB9114F841D4DFCDBDEB882524E71