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

Found 160 packages in 0.01 seconds

bayesLife — by Hana Sevcikova, 2 years ago

Bayesian Projection of Life Expectancy

Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model . Subnational projections are also supported.

fireexposuR — by Air Forbes, a year ago

Compute and Visualize Wildfire Exposure

Methods for computing and visualizing wildfire ignition exposure and directional vulnerability that are published in a series of scientific publications are automated by the functions in this package. See Beverly et al. (2010) , Beverly et al. (2021) , and Beverly and Forbes (2023) for background and methodology.

priceR — by Steve Condylios, 6 months ago

Economics and Pricing Tools

Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020).

WSCdata — by Jingru Zhang, a year ago

A New Four-Arm Within-Study Comparison Data on Math and Vocabulary Training

This dataset was collected using a new four-arm within-study comparison design. The study aimed to examine the impact of a mathematics training intervention and a vocabulary study session on post-test scores in mathematics and vocabulary, respectively. The innovative four-arm within-study comparison design facilitates both experimental and quasi-experimental identification of average causal effects.

qdapTools — by Tyler Rinker, 3 years ago

Tools for the 'qdap' Package

A collection of tools associated with the 'qdap' package that may be useful outside of the context of text analysis.

IncAAM — by Steven Campana, a month ago

Bayesian Age-at-Maturity Analysis from Increment-Width Growth Series

Bayesian hierarchical nonlinear mixed-effects analysis for estimating age at sexual maturity from annual increment-width growth series. The method estimates age at maturity using tangent-ratio and jerk approaches and provides a posterior threshold-crossing ogive with an estimated A50. Methodological details and applications are described in Campana, SmoliƄski, Morrongiello and Black (2026, in press).

tidyGenR — by Miguel Camacho, 9 months ago

Tidy Multilocus Amplicon Genotypes

Variant determination and genotyping from high throughput sequences from multilocus amplicon libraries, typically sequenced in Illumina MiSeq or similar. It provides a set of core functions for the central steps: demultiplex by locus, truncate reads, variant calling, and genotype calling. Additionally, it provides a set of functions for diagnosis and estimation of best running parameters and multiple extensions for genotype/variants manipulation and reformatting. Output variants and genotypes are output in 'tidy' format, thus facilitating reformatting, manipulation and potential connection to other R packages.

kernscr — by Boris P Hejblum, a year ago

Kernel Machine Score Test for Semi-Competing Risks

Kernel Machine Score Test for Pathway Analysis in the Presence of Semi-Competing Risks. Method is detailed in: Neykov, Hejblum & Sinnott (2018) .

survSpearman — by Svetlana Eden, 4 years ago

Nonparametric Spearman's Correlation for Survival Data

Nonparametric estimation of Spearman's rank correlation with bivariate survival (right-censored) data as described in Eden, S.K., Li, C., Shepherd B.E. (2021), Nonparametric Estimation of Spearman's Rank Correlation with Bivariate Survival Data, Biometrics (under revision). The package also provides functions that visualize bivariate survival data and bivariate probability mass function.

modEvA — by A. Marcia Barbosa, a month ago

Model Evaluation and Analysis

Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) .