Showing 21 of total 21 results (show query)
tidymodels
infer:Tidy Statistical Inference
The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.
Maintained by Simon Couch. Last updated 6 months ago.
736 stars 15.75 score 3.5k scripts 18 dependentsr-lib
generics:Common S3 Generics not Provided by Base R Methods Related to Model Fitting
In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.
Maintained by Hadley Wickham. Last updated 1 years ago.
61 stars 14.00 score 131 scripts 9.8k dependentsbhklab
mRMRe:Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique. Published in De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
Maintained by Benjamin Haibe-Kains. Last updated 4 years ago.
19 stars 8.95 score 105 scripts 2 dependentsradiant-rstats
radiant.data:Data Menu for Radiant: Business Analytics using R and Shiny
The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Maintained by Vincent Nijs. Last updated 5 months ago.
53 stars 8.25 score 146 scripts 6 dependentsekstroem
dataMaid:A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process
Data screening is an important first step of any statistical analysis. dataMaid auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset.
Maintained by Claus Thorn Ekstrøm. Last updated 3 years ago.
data-cleaningdata-screeningreproducible-research
143 stars 7.53 score 236 scriptsmatrix-profile-foundation
tsmp:Time Series with Matrix Profile
A toolkit implementing the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
Maintained by Francisco Bischoff. Last updated 3 years ago.
algorithmmatrix-profilemotif-searchtime-seriescpp
72 stars 7.29 score 179 scripts 1 dependentsbioc
RCX:R package implementing the Cytoscape Exchange (CX) format
Create, handle, validate, visualize and convert networks in the Cytoscape exchange (CX) format to standard data types and objects. The package also provides conversion to and from objects of iGraph and graphNEL. The CX format is also used by the NDEx platform, a online commons for biological networks, and the network visualization software Cytocape.
Maintained by Florian Auer. Last updated 5 months ago.
8 stars 6.28 score 10 scripts 1 dependentsekstroem
dataReporter:Reproducible Data Screening Checks and Report of Possible Errors
Data screening is an important first step of any statistical analysis. 'dataReporter' auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 <doi:10.18637/jss.v090.i06> for more information.
Maintained by Claus Thorn Ekstrøm. Last updated 2 years ago.
86 stars 6.16 score 34 scriptsmcanouil
NACHO:NanoString Quality Control Dashboard
NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Maintained by Mickaël Canouil. Last updated 1 years ago.
mirnamrnananostringnormalisationquality-controlshiny
8 stars 5.41 score 32 scriptsmaxwestphal
cases:Stratified Evaluation of Subgroup Classification Accuracy
Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons. Statistical Methods in Medical Research. 2024;0(0). <doi:10.1177/09622802241236933>).
Maintained by Max Westphal. Last updated 3 months ago.
1 stars 4.59 score 13 scriptsdiscoleo
Rpdb:Read, Write, Visualize and Manipulate PDB Files
Provides tools to read, write, visualize Protein Data Bank (PDB) files and perform some structural manipulations.
Maintained by Leonard Mada. Last updated 9 days ago.
4.53 score 68 scriptsbioc
MethylAid:Visual and interactive quality control of large Illumina DNA Methylation array data sets
A visual and interactive web application using RStudio's shiny package. Bad quality samples are detected using sample-dependent and sample-independent controls present on the array and user adjustable thresholds. In depth exploration of bad quality samples can be performed using several interactive diagnostic plots of the quality control probes present on the array. Furthermore, the impact of any batch effect provided by the user can be explored.
Maintained by L.J.Sinke. Last updated 5 months ago.
dnamethylationmethylationarraymicroarraytwochannelqualitycontrolbatcheffectvisualizationgui
4.51 score 16 scriptsfvafrcu
fakemake:Mock the Unix Make Utility
Use R as a minimal build system. This might come in handy if you are developing R packages and can not use a proper build system. Stay away if you can (use a proper build system).
Maintained by Andreas Dominik Cullmann. Last updated 2 years ago.
4.22 score 11 scripts 1 dependentsmikeasilva
simplegraphdb:A Simple Graph Database
This is a graph database in 'SQLite'. It is inspired by Denis Papathanasiou's Python simple-graph project on 'GitHub'.
Maintained by Michael Silva. Last updated 4 years ago.
7 stars 3.75 score 16 scriptsjroberayalas
ahnr:An Implementation of the Artificial Hydrocarbon Networks
Implementation of the Artificial Hydrocarbon Networks for data modeling.
Maintained by Jose Roberto Ayala Solares. Last updated 7 years ago.
1 stars 3.70 score 6 scriptsmuhlisoz
dematel:Decision Making Trial and Evaluation Laboratory Technique in R
Developed to Solve the Multi-Criteria Decision Making Problems with Decision Making Trial and Evaluation Laboratory Technique in R.
Maintained by Muhlis Ozdemir. Last updated 4 years ago.
1 stars 2.00 score 2 scriptsshichaohan
MultiObjMatch:Multi-Objective Matching Algorithm
Matching algorithm based on network-flow structure. Users are able to modify the emphasis on three different optimization goals: two different distance measures and the number of treated units left unmatched. The method is proposed by Pimentel and Kelz (2019) <doi:10.1080/01621459.2020.1720693>. The 'rrelaxiv' package, which provides an alternative solver for the underlying network flow problems, carries an academic license and is not available on CRAN, but may be downloaded from Github at <https://github.com/josherrickson/rrelaxiv/>.
Maintained by Shichao Han. Last updated 9 months ago.
1.00 score 1 scripts