Showing 23 of total 23 results (show query)
tidyverse
rvest:Easily Harvest (Scrape) Web Pages
Wrappers around the 'xml2' and 'httr' packages to make it easy to download, then manipulate, HTML and XML.
Maintained by Hadley Wickham. Last updated 5 months ago.
1.5k stars 19.33 score 29k scripts 549 dependents
rstudio
plumber:An API Generator for R
Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.
Maintained by Barret Schloerke. Last updated 18 days ago.
1.4k stars 14.47 score 2.2k scripts 16 dependents
gksmyth
statmod:Statistical Modeling
A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.
Maintained by Gordon Smyth. Last updated 2 years ago.
1 stars 9.62 score 2.2k scripts 849 dependents
georgheinze
logistf:Firth's Bias-Reduced Logistic Regression
Fit a logistic regression model using Firth's bias reduction method, equivalent to penalization of the log-likelihood by the Jeffreys prior. Confidence intervals for regression coefficients can be computed by penalized profile likelihood. Firth's method was proposed as ideal solution to the problem of separation in logistic regression, see Heinze and Schemper (2002) <doi:10.1002/sim.1047>. If needed, the bias reduction can be turned off such that ordinary maximum likelihood logistic regression is obtained. Two new modifications of Firth's method, FLIC and FLAC, lead to unbiased predictions and are now available in the package as well, see Puhr et al (2017) <doi:10.1002/sim.7273>.
Maintained by Georg Heinze. Last updated 2 years ago.
12 stars 9.23 score 346 scripts 16 dependents
jonclayden
RNiftyReg:Image Registration Using the 'NiftyReg' Library
Provides an 'R' interface to the 'NiftyReg' image registration tools <https://github.com/KCL-BMEIS/niftyreg>. Linear and nonlinear registration are supported, in two and three dimensions.
Maintained by Jon Clayden. Last updated 6 months ago.
image-registrationmedical-imagingtransformationscppopenmp
43 stars 7.69 score 50 scripts 5 dependents
ambiorix-web
ambiorix:Web Framework Inspired by 'Express.js'
A web framework inspired by 'express.js' to build any web service from multi-page websites to 'RESTful' application programming interfaces.
Maintained by John Coene. Last updated 14 days ago.
212 stars 7.28 score 8 dependents
ashbythorpe
selenider:Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'
A user-friendly wrapper for web automation, using either 'chromote' or 'selenium'. Provides a simple and consistent API to make web scraping and testing scripts easy to write and understand. Elements are lazy, and automatically wait for the website to be valid, resulting in reliable and reproducible code, with no visible impact on the experience of the programmer.
Maintained by Ashby Thorpe. Last updated 3 months ago.
39 stars 7.21 score 23 scripts
johndharrison
seleniumPipes:R Client Implementing the W3C WebDriver Specification
The W3C WebDriver specification defines a way for out-of-process programs to remotely instruct the behaviour of web browsers. It is detailed at <https://w3c.github.io/webdriver/webdriver-spec.html>. This package provides an R client implementing the W3C specification.
Maintained by John Harrison. Last updated 8 years ago.
54 stars 6.66 score 168 scripts
shaunpwilkinson
aphid:Analysis with Profile Hidden Markov Models
Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).
Maintained by Shaun Wilkinson. Last updated 9 months ago.
22 stars 6.58 score 38 scripts 3 dependents
frmunoz
ecolottery:Coalescent-Based Simulation of Ecological Communities
Coalescent-Based Simulation of Ecological Communities as proposed by Munoz et al. (2018) <doi:10.1111/2041-210X.12918>. The package includes a tool for estimating parameters of community assembly by using Approximate Bayesian Computation.
Maintained by François Munoz. Last updated 2 years ago.
15 stars 6.18 score 17 scripts 1 dependents
khliland
mixlm:Mixed Model ANOVA and Statistics for Education
The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.
Maintained by Kristian Hovde Liland. Last updated 2 months ago.
5.90 score 56 scripts 3 dependents
hojsgaard
gRim:Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Graphical Gaussian models for multivariate normal data (i.e. covariance selection models) Mixed interaction models. Documentation about 'gRim' is provided by vignettes included in this package and the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.
Maintained by Søren Højsgaard. Last updated 6 months ago.
2 stars 5.77 score 74 scripts
pmszulc
bigstep:Stepwise Selection for Large Data Sets
Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. Bogdan et al., (2004) <doi:10.1534/genetics.103.021683>.
Maintained by Piotr Szulc. Last updated 20 days ago.
2 stars 5.18 score 51 scripts 1 dependents
jlp-bioinf
RRNA:Secondary Structure Plotting for RNA
Functions for creating and manipulating RNA secondary structure plots.
Maintained by JP Bida. Last updated 11 months ago.
1 stars 4.33 score 47 scripts 1 dependents
semran9
tfNeuralODE:Create Neural Ordinary Differential Equations with 'tensorflow'
Provides a framework for the creation and use of Neural ordinary differential equations with the 'tensorflow' and 'keras' packages. The idea of Neural ordinary differential equations comes from Chen et al. (2018) <doi:10.48550/arXiv.1806.07366>, and presents a novel way of learning and solving differential systems.
Maintained by Shayaan Emran. Last updated 1 years ago.
1 stars 4.00 score 5 scripts
bioc
NTW:Predict gene network using an Ordinary Differential Equation (ODE) based method
This package predicts the gene-gene interaction network and identifies the direct transcriptional targets of the perturbation using an ODE (Ordinary Differential Equation) based method.
Maintained by Yuanhua Liu. Last updated 5 months ago.
3.78 score 1 scripts
henryleongstat
regmhmm:'regmhmm' Fits Hidden Markov Models with Regularization
Designed for longitudinal data analysis using Hidden Markov Models (HMMs). Tailored for applications in healthcare, social sciences, and economics, the main emphasis of this package is on regularization techniques for fitting HMMs. Additionally, it provides an implementation for fitting HMMs without regularization, referencing Zucchini et al. (2017, ISBN:9781315372488).
Maintained by Man Chong Leong. Last updated 1 years ago.
3.70 score
cran
HMM:Hidden Markov Models
Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models.
Maintained by Lin Himmelmann. Last updated 3 years ago.
3 stars 3.56 score 4 dependentscran
ambiorix:Web Framework Inspired by 'Express.js'
A web framework inspired by 'express.js' to build any web service from multi-page websites to 'RESTful' application programming interfaces.
Maintained by John Coene. Last updated 15 days ago.
3.08 score 8 dependentscran
HiddenMarkov:Hidden Markov Models
Contains functions for the analysis of Discrete Time Hidden Markov Models, Markov Modulated GLMs and the Markov Modulated Poisson Process. It includes functions for simulation, parameter estimation, and the Viterbi algorithm. See the topic "HiddenMarkov" for an introduction to the package, and "Change Log" for a list of recent changes. The algorithms are based of those of Walter Zucchini.
Maintained by David Harte. Last updated 2 months ago.
2.97 score 3 dependentscran
FinancialMath:Financial Mathematics for Actuaries
Contains financial math functions and introductory derivative functions included in the Society of Actuaries and Casualty Actuarial Society 'Financial Mathematics' exam, and some topics in the 'Models for Financial Economics' exam.
Maintained by Kameron Penn. Last updated 8 years ago.
4 stars 1.60 score
pierre-andre
ibr:Iterative Bias Reduction
Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
Maintained by "Pierre-Andre Cornillon". Last updated 2 years ago.
1.28 score 19 scripts