Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

Search

Type in a keyword to search

On page 4 showing 61 ~ 80 out of 195 results
Snippet view Table view Download 195 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_022494

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=betareg

Software R package for modeling beta distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of beta distributed response), bias corrected and bias reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided.

Proper citation: Betareg (RRID:SCR_022494) Copy   


https://github.com/topepo/caret

Software R package that contains functions for training and plotting classification and regression models. Includes methods for pre-processing training data, calculating variable importance, and model visualizations.

Proper citation: Classification And Regression Training (RRID:SCR_022524) Copy   


  • RRID:SCR_022523

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=simplePHENOTYPES

Software R package that simulates pleiotropy, partial pleiotropy, and spurious pleiotropy in wide range of genetic architectures, including additive, dominance and epistatic models. Used to simulate multiple traits controlled by loci with varying degrees of pleiotropy.

Proper citation: simplePHENOTYPES (RRID:SCR_022523) Copy   


  • RRID:SCR_022521

    This resource has 10+ mentions.

https://cran.r-project.org/web/packages/ranger/

Software R package as fast implementation of Random Forests for high dimentional data.

Proper citation: ranger (RRID:SCR_022521) Copy   


  • RRID:SCR_022813

    This resource has 10+ mentions.

https://stringr.tidyverse.org/

Software package to provide set of functions designed to make working with strings easy. Consistent wrappers for common string operations.

Proper citation: stringr (RRID:SCR_022813) Copy   


  • RRID:SCR_022520

    This resource has 1+ mentions.

https://github.com/h2oai/h2o4gpu

Interface to H2O4GPU, collection of GPU solvers for machine learning algorithms.

Proper citation: h2o4gpu (RRID:SCR_022520) Copy   


  • RRID:SCR_022757

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=shinythemes

Software R package Themes for use with Shiny.

Proper citation: shinythemes (RRID:SCR_022757) Copy   


  • RRID:SCR_022755

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=shinyhelper

Software R package to add markdown helpfiles to shiny apps, using modal dialog boxes, with no need to observe each help button separately.

Proper citation: shinyhelper (RRID:SCR_022755) Copy   


  • RRID:SCR_022575

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=ggforce

Software R package providing missing functionality to ggplot2 through extension system introduced with ggplot2 v2.0.0.

Proper citation: ggforce (RRID:SCR_022575) Copy   


  • RRID:SCR_022856

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=ordinal

Software R package implementation of cumulative link models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit models.

Proper citation: ordinal (RRID:SCR_022856) Copy   


https://cran.r-project.org/package=NMF

Software R package for nonnegative matrix factorization. Implements set of already published algorithms and seeding methods, and provides framework to test, develop and plug new/custom algorithms.

Proper citation: Algorithms and Framework for Nonnegative Matrix Factorization (RRID:SCR_023124) Copy   


https://cran.r-project.org/web/packages/rms/

Software R package as collection of functions that assist with streamline modeling. Works with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.

Proper citation: Regression Modeling Strategies (RRID:SCR_023242) Copy   


  • RRID:SCR_023359

https://ndphillips.github.io/FFTrees/

Software package as decision algorithms for solving binary classification problems. Faster and more frugal because every node allows making decision. Apart from being faster and requiring less information, FFTs tend to be robust against overfitting, and are easy to interpret, use, and communicate.

Proper citation: FFTrees (RRID:SCR_023359) Copy   


  • RRID:SCR_023458

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=vtree

Software R package for calculating and drawing variable trees. Variable trees display information about nested subsets of data frame.

Proper citation: vtree (RRID:SCR_023458) Copy   


  • RRID:SCR_023453

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=vcfR

Software R package to read, write, manipulate and analyze variant call format data. Facilitates easy manipulation of variant call format (VCF) data.

Proper citation: vcfR (RRID:SCR_023453) Copy   


https://CRAN.R-project.org/package=irrCAC

Software R package to calculate various chance-corrected agreement coefficients among 2 or more raters. Among CAC coefficients covered are Cohen's kappa, Conger's kappa, Fleiss' kappa, Brennan-Prediger coefficient, Gwet's AC1/AC2 coefficients, and Krippendorff's alpha. Multiple sets of weights are proposed for computing weighted analyses.

Proper citation: Computing Chance Corrected Agreement Coefficients (RRID:SCR_023176) Copy   


https://CRAN.R-project.org/package=irrICC

Software R package to calculate various intraclass correlation coefficients. Used to quantify inter-rater and intra-rater reliability.

Proper citation: Intraclass Correlations for Quantifying Inter Rater Reliability (RRID:SCR_023175) Copy   


  • RRID:SCR_023025

https://CRAN.R-project.org/package=Rtrack

Software R package for analysis of paths from spatial tracking experiments such as Morris water maze and calculation of goal finding strategies. Used for in depth analysis of tracking coordinates from video.

Proper citation: Rtrack (RRID:SCR_023025) Copy   


  • RRID:SCR_023393

    This resource has 10+ mentions.

https://CRAN.R-project.org/package=sf

Software R package as set of standards that specify common storage and access model of geographic features made of mostly two dimensional geometries used by geographic information systems. Standardized way to encode spatial vector data. Formalized by Open Geospatial Consortium and International Organization for Standardization.

Proper citation: Simple Features (RRID:SCR_023393) Copy   


  • RRID:SCR_023862

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=brms

Software package implements Bayesian multilevel models in R using probabilistic programming language Stan.

Proper citation: brms (RRID:SCR_023862) Copy   



Can't find your Tool?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.

Can't find the RRID you're searching for? X
  1. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within dkNET that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

X