Showing 12 of total 12 results (show query)
danielamattei
Rita:Automated Transformations, Normality Testing, and Reporting
Automated performance of common transformations used to fulfill parametric assumptions of normality and identification of the best performing method for the user. Output for various normality tests (Thode, 2002) corresponding to the best performing method and a descriptive statistical report of the input data in its original units (5-number summary and mathematical moments) are also presented. Lastly, the Rankit, an empirical normal quantile transformation (ENQT) (Soloman & Sawilowsky, 2009), is provided to accommodate non-standard use cases and facilitate adoption. <DOI: 10.1201/9780203910894>. <DOI: 10.22237/jmasm/1257034080>.
Maintained by Daniel Mattei. Last updated 3 years ago.
61.6 match 2.00 score 1 scripts
mrcieu
gwasglue2:GWAS summary data sources connected to analytical tools
Description: Many tools exist that use GWAS summary data for colocalisation, fine mapping, Mendelian randomization, visualisation, etc. This package is a conduit that connects R packages that can retrieve GWAS summary data to various tools for analysing those data.
Maintained by Rita Rasteiro. Last updated 1 years ago.
9.0 match 21 stars 5.69 score 11 scripts 2 dependents
ropensci
skynet:Generates Networks from BTS Data
A flexible tool that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States <https://www.transtats.bts.gov/databases.asp?Z1qr_VQ=E&Z1qr_Qr5p=N8vn6v10&f7owrp6_VQF=D>.
Maintained by Filipe Teixeira. Last updated 6 months ago.
air-transportbtsbureau-of-transport-statisticsdb1bpeer-reviewedritaskynett100transtats
11.0 match 11 stars 4.67 score 43 scripts
cran
GenderInfer:This is a Collection of Functions to Analyse Gender Differences
Implementation of functions, which combines binomial calculation and data visualisation, to analyse the differences in publishing authorship by gender described in Day et al. (2020) <doi:10.1039/C9SC04090K>. It should only be used when self-reported gender is unavailable.
Maintained by Rita Giordano. Last updated 3 years ago.
9.1 match 2.70 score
cldossantos
pacu:Precision Agriculture Computational Utilities
Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Maintained by dos Santos Caio. Last updated 3 days ago.
3.3 match 14 stars 6.82 score 9 scriptsmrcieu
ieugwasr:Interface to the 'OpenGWAS' Database API
Interface to the 'OpenGWAS' database API <https://api.opengwas.io/api/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Maintained by Gibran Hemani. Last updated 3 days ago.
1.5 match 89 stars 10.71 score 404 scripts 6 dependents
paobranco
UBL:An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks
Provides a set of functions that can be used to obtain better predictive performance on cost-sensitive and cost/benefits tasks (for both regression and classification). This includes re-sampling approaches that modify the original data set biasing it towards the user preferences.
Maintained by Paula Branco. Last updated 3 months ago.
1.6 match 33 stars 6.39 score 165 scripts 1 dependents
bioc
phantasusLite:Loading and annotation RNA-seq counts matrices
PhantasusLite – a lightweight package with helper functions of general interest extracted from phantasus package. In parituclar it simplifies working with public RNA-seq datasets from GEO by providing access to the remote HSDS repository with the precomputed gene counts from ARCHS4 and DEE2 projects.
Maintained by Alexey Sergushichev. Last updated 5 months ago.
geneexpressiontranscriptomicsrnaseq
1.7 match 8 stars 6.08 score 8 scripts 1 dependents
f-silva-archaeo
skyscapeR:Data Analysis and Visualization for Skyscape Archaeology
Data reduction, visualization and statistical analysis of measurements of orientation of archaeological structures, following Silva (2020) <doi:10.1016/j.jas.2020.105138>.
Maintained by Silva Fabio. Last updated 6 months ago.
1.7 match 5 stars 5.31 score 41 scriptsmrcieu
gwasvcf:Tools for Dealing with GWAS Summary Data in VCF Format
Tools for dealing with GWAS summary data in VCF format. Includes reading, querying, writing, as well as helper functions such as LD proxy searches.
Maintained by Gibran Hemani. Last updated 2 years ago.
1.5 match 77 stars 5.65 score 129 scripts 1 dependents
jfoadi
cry:Statistics for Structural Crystallography
Reading and writing of files in the most commonly used formats of structural crystallography. It includes functions to work with a variety of statistics used in this field and functions to perform basic crystallographic computing. References: D. G. Waterman, J. Foadi, G. Evans (2011) <doi:10.1107/S0108767311084303>.
Maintained by James Foadi. Last updated 2 years ago.
1.6 match 5.03 score 12 scripts 1 dependents
nunompmoniz
IRon:Solving Imbalanced Regression Tasks
Imbalanced domain learning has almost exclusively focused on solving classification tasks, where the objective is to predict cases labelled with a rare class accurately. Such a well-defined approach for regression tasks lacked due to two main factors. First, standard regression tasks assume that each value is equally important to the user. Second, standard evaluation metrics focus on assessing the performance of the model on the most common cases. This package contains methods to tackle imbalanced domain learning problems in regression tasks, where the objective is to predict extreme (rare) values. The methods contained in this package are: 1) an automatic and non-parametric method to obtain such relevance functions; 2) visualisation tools; 3) suite of evaluation measures for optimisation/validation processes; 4) the squared-error relevance area measure, an evaluation metric tailored for imbalanced regression tasks. More information can be found in Ribeiro and Moniz (2020) <doi:10.1007/s10994-020-05900-9>.
Maintained by Nuno Moniz. Last updated 2 years ago.
evaluation-metricsimbalance-dataimbalanced-learningmachine-learningregression
1.6 match 19 stars 3.86 score 38 scripts