Showing 5 of total 5 results (show query)
r-forge
copula:Multivariate Dependence with Copulas
Classes (S4) of commonly used elliptical, Archimedean, extreme-value and other copula families, as well as their rotations, mixtures and asymmetrizations. Nested Archimedean copulas, related tools and special functions. Methods for density, distribution, random number generation, bivariate dependence measures, Rosenblatt transform, Kendall distribution function, perspective and contour plots. Fitting of copula models with potentially partly fixed parameters, including standard errors. Serial independence tests, copula specification tests (independence, exchangeability, radial symmetry, extreme-value dependence, goodness-of-fit) and model selection based on cross-validation. Empirical copula, smoothed versions, and non-parametric estimators of the Pickands dependence function.
Maintained by Martin Maechler. Last updated 28 days ago.
11.83 score 1.2k scripts 86 dependents
bioc
msqrob2:Robust statistical inference for quantitative LC-MS proteomics
msqrob2 provides a robust linear mixed model framework for assessing differential abundance in MS-based Quantitative proteomics experiments. Our workflows can start from raw peptide intensities or summarised protein expression values. The model parameter estimates can be stabilized by ridge regression, empirical Bayes variance estimation and robust M-estimation. msqrob2's hurde workflow can handle missing data without having to rely on hard-to-verify imputation assumptions, and, outcompetes state-of-the-art methods with and without imputation for both high and low missingness. It builds on QFeature infrastructure for quantitative mass spectrometry data to store the model results together with the raw data and preprocessed data.
Maintained by Lieven Clement. Last updated 1 months ago.
proteomicsmassspectrometrydifferentialexpressionmultiplecomparisonregressionexperimentaldesignsoftwareimmunooncologynormalizationtimecoursepreprocessing
11 stars 6.98 score 83 scriptsr-forge
fPortfolio:Rmetrics - Portfolio Selection and Optimization
A collection of functions to optimize portfolios and to analyze them from different points of view.
Maintained by Stefan Theussl. Last updated 1 days ago.
1 stars 6.61 score 179 scripts 2 dependents
henrikbengtsson
aroma.core:Core Methods and Classes Used by 'aroma.*' Packages Part of the Aroma Framework
Core methods and classes used by higher-level 'aroma.*' packages part of the Aroma Project, e.g. 'aroma.affymetrix' and 'aroma.cn'.
Maintained by Henrik Bengtsson. Last updated 2 years ago.
microarrayonechanneltwochannelmultichanneldataimportdatarepresentationguivisualizationpreprocessingqualitycontrolacghcopynumbervariants
1 stars 4.30 score 16 scripts 6 dependents
emilsjoerup
DriftBurstHypothesis:Calculates the Test-Statistic for the Drift Burst Hypothesis
Calculates the T-Statistic for the drift burst hypothesis from the working paper Christensen, Oomen and Reno (2018) <DOI:10.2139/ssrn.2842535>. The authors' MATLAB code is available upon request, see: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2842535>.
Maintained by Emil Sjoerup. Last updated 5 years ago.
4 stars 3.30 score 7 scripts