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

Found 131 packages in 0.02 seconds

nametagger — by Jan Wijffels, 6 months ago

Named Entity Recognition in Texts using 'NameTag'

Wraps the 'nametag' library < https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) < https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.

LREP — by Jiqiang Wu, 3 years ago

Estimate and Test Exponential vs. Pareto Distributions

The programs were developed for estimation of parameters and testing exponential versus Pareto distribution during our work on hydrologic extremes. See Kozubowski, T.J., A.K. Panorska, F. Qeadan, and A. Gershunov (2007) , and Panorska, A.K., A. Gershunov, and T.J. Kozubowski (2007) .

frapplot — by Guanqiao Ding, 5 years ago

Automatic Data Processing and Visualization for FRAP

Automatically process Fluorescence Recovery After Photobleaching (FRAP) data and generate consistent, publishable figures. Note: this package does not replace 'ImageJ' (or its equivalence) in raw image quantification. Some references about the methods: Sprague, Brian L. (2004) ; Day, Charles A. (2012) .

stationery — by Paul Johnson, a month ago

Working Examples for Reproducible Research Documents

Templates, guides, and scripts for writing documents in 'LaTeX' and 'R markdown' to produce guides, slides, and reports. Special care is taken to illustrate use of templates and customization opportunities. Challenges and opportunities of 'HTML' output from 'R markdown' receive special attention. Includes several vignettes to assist new users of literate programming.

harrietr — by Anders Gonçalves da Silva, 6 years ago

Wrangle Phylogenetic Distance Matrices and Other Utilities

Harriet was Charles Darwin's pet tortoise (possibly). 'harrietr' implements some function to manipulate distance matrices and phylogenetic trees to make it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.

kalmanfilter — by Alex Hubbard, 20 days ago

Kalman Filter

'Rcpp' implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. There is also a function to handle time varying parameters. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" < http://econ.korea.ac.kr/~cjkim/>.

traipse — by Michael Sumner, a year ago

Shared Tools for Tracking Data

A collection of commonly used tools for animal movement and other tracking data. Variously distance, angle, bearing, distance-to, bearing-to and speed are provided for geographic data that can be used directly or within 'tidyverse' syntax. Distances and bearings are calculated using modern geodesic methods as provided by Charles F. F. Karney (2013) via the 'geodist' and 'geosphere' packages.

TFunHDDC — by Cristina Anton, 10 months ago

Clustering of Functional Data via Mixtures of t-Distributions

Extension of 'funHDDC' Schmutz et al. (2018) for cases including outliers by fitting t-distributions for robust groups. 'TFunHDDC' can cluster univariate or multivariate data produced by the 'fda' package for data using a b-splines or Fourier basis.

ordinalLBM — by Marco Corneli, 5 years ago

Co-Clustering of Ordinal Data via Latent Continuous Random Variables

It implements functions for simulation and estimation of the ordinal latent block model (OLBM), as described in Corneli, Bouveyron and Latouche (2019).

SEMsens — by Walter Leite, 2 years ago

A Tool for Sensitivity Analysis in Structural Equation Modeling

Perform sensitivity analysis in structural equation modeling using meta-heuristic optimization methods (e.g., ant colony optimization and others). The references for the proposed methods are: (1) Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022). (2) Harring, J. R., McNeish, D. M., & Hancock, G. R. (2017) ; (3) Fisk, C., Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K. (2022). ; (4) Socha, K., & Dorigo, M. (2008) . We also thank Dr. Krzysztof Socha for sharing his research on ant colony optimization algorithm with continuous domains and associated R code, which provided the base for the development of this package.