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

Found 137 packages in 0.29 seconds

LSAmitR — by Thomas Kiefer, 3 years ago

Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R'

Dieses R-Paket stellt Zusatzmaterial in Form von Daten, Funktionen und R-Hilfe-Seiten für den Herausgeberband Breit, S. und Schreiner, C. (Hrsg.). (2016). "Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandardüberprüfung." Wien: facultas. (ISBN: 978-3-7089-1343-8, < https://www.iqs.gv.at/themen/bildungsforschung/publikationen/veroeffentlichte-publikationen>) zur Verfügung.

stream — by Michael Hahsler, 4 months ago

Infrastructure for Data Stream Mining

A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) .

RFLPtools — by Matthias Kohl, 3 years ago

Tools to Analyse RFLP Data

Provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis).

DecorateR — by Matthias Bogaert, 5 years ago

Fit and Deploy DECORATE Trees

DECORATE (Diverse Ensemble Creation by Oppositional Relabeling of Artificial Training Examples) builds an ensemble of J48 trees by recursively adding artificial samples of the training data ("Melville, P., & Mooney, R. J. (2005) ").

StMoSim — by Matthias Salvisberg, 7 years ago

Quantile-Quantile Plot with Several Gaussian Simulations

Plots a QQ-Norm Plot with several Gaussian simulations.

CTP — by Paul Jordan, 4 years ago

Closed Testing Procedure (CTP)

This is a package for constructing hypothesis trees for treatment comparisons based on the closure principle and analysing the corresponding Closed Testing Procedures (CTP) using adjusted p-values. For reference, see Marcus, R., Peritz, E, and Gabriel, K.R. (1976) and Bauer, P (1991) .

nntmvn — by Jian Cao, 5 months ago

Draw Samples of Truncated Multivariate Normal Distributions

Draw samples from truncated multivariate normal distribution using the sequential nearest neighbor (SNN) method introduced in "Scalable Sampling of Truncated Multivariate Normals Using Sequential Nearest-Neighbor Approximation" .

r4googleads — by Johannes Burkhardt, 3 years ago

'Google Ads API' Interface

Interface for the 'Google Ads API'. 'Google Ads' is an online advertising service that enables advertisers to display advertising to web users (see < https://developers.google.com/google-ads/> for more information).

gamboostLSS — by Benjamin Hofner, 4 months ago

Boosting Methods for 'GAMLSS'

Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.

plsmselect — by Indrayudh Ghosal, 6 years ago

Linear and Smooth Predictor Modelling with Penalisation and Variable Selection

Fit a model with potentially many linear and smooth predictors. Interaction effects can also be quantified. Variable selection is done using penalisation. For l1-type penalties we use iterative steps alternating between using linear predictors (lasso) and smooth predictors (generalised additive model).