Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

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xactonomial — by Michael C Sachs, 9 months ago

Inference for Functions of Multinomial Parameters

We consider the problem where we observe k vectors (possibly of different lengths), each representing an independent multinomial random vector. For a given function that takes in the concatenated vector of multinomial probabilities and outputs a real number, this is a Monte Carlo estimation procedure of an exact p-value and confidence interval. The resulting inference is valid even in small samples, when the parameter is on the boundary, and when the function is not differentiable at the parameter value, all situations where asymptotic methods and the bootstrap would fail. For more details see Sachs, Fay, and Gabriel (2025) .

pawscore — by Colin Twomey, 3 years ago

Pain Assessment at Withdrawal Speeds (PAWS)

Automated pain scoring from paw withdrawal tracking data. Based on Jones et al. (2020) "A machine-vision approach for automated pain measurement at millisecond timescales" .

rateratio.test — by Michael Fay, 4 years ago

Exact Rate Ratio Test

Performs exact rate ratio tests.

loewesadditivity — by Shannon Gallagher, 6 years ago

Loewe's Additivity

Estimate model parameters to determine whether two compounds have synergy, antagonism, or Loewe's Additivity.

saws — by Michael P. Fay, 4 years ago

Small-Sample Adjustments for Wald Tests Using Sandwich Estimators

Tests coefficients with sandwich estimator of variance and with small samples. Regression types supported are gee, linear regression, and conditional logistic regression.

JBrowseR — by Colin Diesh, 2 years ago

An R Interface to the JBrowse 2 Genome Browser

Provides an R interface to the JBrowse 2 genome browser. Enables embedding a JB2 genome browser in a Shiny app or R Markdown document. The browser can also be launched from an interactive R console. The browser can be loaded with a variety of common genomics data types, and can be used with a custom theme.

EDIutils — by Colin Smith, 4 months ago

An API Client for the Environmental Data Initiative Repository

A client for the Environmental Data Initiative repository REST API. The 'EDI' data repository < https://portal.edirepository.org/nis/home.jsp> is for publication and reuse of ecological data with emphasis on metadata accuracy and completeness. It is built upon the 'PASTA+' software stack < https://pastaplus-core.readthedocs.io/en/latest/index.html#> and was developed in collaboration with the US 'LTER' Network < https://lternet.edu/>. 'EDIutils' includes functions to search and access existing data, evaluate and upload new data, and assist other data management tasks common to repository users.

binseqtest — by Michael P. Fay, 3 years ago

Exact Binary Sequential Designs and Analysis

For a series of binary responses, create stopping boundary with exact results after stopping, allowing updating for missing assessments.

agfh — by Marten Thompson, 3 years ago

Agnostic Fay-Herriot Model for Small Area Statistics

Implements the Agnostic Fay-Herriot model, an extension of the traditional small area model. In place of normal sampling errors, the sampling error distribution is estimated with a Gaussian process to accommodate a broader class of distributions. This flexibility is most useful in the presence of bounded, multi-modal, or heavily skewed sampling errors.

CBASSED50 — by Luigi Colin, a year ago

Process CBASS-Derived PAM Data

Tools to process CBASS-derived PAM data efficiently. Minimal requirements are PAM-based photosynthetic efficiency data (or data from any other continuous variable that changes with temperature, e.g. relative bleaching scores) from 4 coral samples (nubbins) subjected to 4 temperature profiles of at least 2 colonies from 1 coral species from 1 site. Please refer to the following CBASS (Coral Bleaching Automated Stress System) papers for in-depth information regarding CBASS acute thermal stress assays, experimental design considerations, and ED5/ED50/ED95 thermal parameters: Nicolas R. Evensen et al. (2023) Christian R. Voolstra et al. (2020) Christian R. Voolstra et al. (2025) .