Showing 10 of total 10 results (show query)
melff
memisc:Management of Survey Data and Presentation of Analysis Results
An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Maintained by Martin Elff. Last updated 28 days ago.
46 stars 12.34 score 1.2k scripts 13 dependentsbioc
ngsReports:Load FastqQC reports and other NGS related files
This package provides methods and object classes for parsing FastQC reports and output summaries from other NGS tools into R. As well as parsing files, multiple plotting methods have been implemented for visualising the parsed data. Plots can be generated as static ggplot objects or interactive plotly objects.
Maintained by Stevie Pederson. Last updated 2 days ago.
22 stars 7.99 score 99 scriptsmonty-se
PINstimation:Estimation of the Probability of Informed Trading
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.
Maintained by Montasser Ghachem. Last updated 5 months ago.
clustering-analysisexpectation-maximisation-algorithmhierarchical-clusteringinformation-asymmetrymarket-microstructuremaximum-likelihood-estimationmixture-distributionspoisson-distribution
37 stars 6.37 score 14 scriptsbioc
BindingSiteFinder:Binding site defintion based on iCLIP data
Precise knowledge on the binding sites of an RNA-binding protein (RBP) is key to understand (post-) transcriptional regulatory processes. Here we present a workflow that describes how exact binding sites can be defined from iCLIP data. The package provides functions for binding site definition and result visualization. For details please see the vignette.
Maintained by Mirko Brüggemann. Last updated 14 days ago.
sequencinggeneexpressiongeneregulationfunctionalgenomicscoveragedataimportbinding-site-classificationbinding-sitesbioconductor-packageicliprna-binding-proteins
6 stars 5.80 score 3 scriptsparklab
Nozzle.R1:Nozzle Reports
The Nozzle package provides an API to generate HTML reports with dynamic user interface elements based on JavaScript and CSS (Cascading Style Sheets). Nozzle was designed to facilitate summarization and rapid browsing of complex results in data analysis pipelines where multiple analyses are performed frequently on big data sets. The package can be applied to any project where user-friendly reports need to be created.
Maintained by Nils Gehlenborg. Last updated 10 years ago.
gehlenborglabhtml-reportreproducible-research
68 stars 5.31 score 10 scripts 2 dependentsbioc
SUITOR:Selecting the number of mutational signatures through cross-validation
An unsupervised cross-validation method to select the optimal number of mutational signatures. A data set of mutational counts is split into training and validation data.Signatures are estimated in the training data and then used to predict the mutations in the validation data.
Maintained by Bill Wheeler. Last updated 5 months ago.
geneticssoftwaresomaticmutation
4.00 score 2 scriptsbioc
CGEN:An R package for analysis of case-control studies in genetic epidemiology
This is a package for analysis of case-control data in genetic epidemiology. It provides a set of statistical methods for evaluating gene-environment (or gene-genes) interactions under multiplicative and additive risk models, with or without assuming gene-environment (or gene-gene) independence in the underlying population.
Maintained by Justin Lee. Last updated 5 months ago.
snpmultiplecomparisonclusteringfortran
3.90 score 10 scriptsvisbanking
fdicdata:Accessing FDIC Bank Data
A system provides a set of functions for working with data from the Federal Deposit Insurance Corporation (FDIC), including retrieving financial data for FDIC-insured institutions and accessing the data taxonomy.
Maintained by Ugur Dar. Last updated 2 years ago.
9 stars 3.65 score 3 scripts