Found 146 packages in 0.01 seconds
2D and 3D Hive Plots for R
Creates and plots 2D and 3D hive plots. Hive plots are a unique method of displaying networks of many types in which node properties are mapped to axes using meaningful properties rather than being arbitrarily positioned. The hive plot concept was invented by Martin Krzywinski at the Genome Science Center (www.hiveplot.net/). Keywords: networks, food webs, linnet, systems biology, bioinformatics.
Robust Expectation-Maximization Estimation for Latent Variable Models
Traditional latent variable models assume that the population
is homogeneous, meaning that all individuals in the population are
assumed to have the same latent structure. However, this assumption is
often violated in practice given that individuals may differ in their
age, gender, socioeconomic status, and other factors that can affect
their latent structure. The robust expectation maximization (REM)
algorithm is a statistical method for estimating the parameters of a
latent variable model in the presence of population heterogeneity as recommended by
Nieser & Cochran (2023)
Compact and Flexible Summaries of Data
A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.
Finding Rhythms Using Extended Circadian Harmonic Oscillators (ECHO)
Provides a function (echo_find()) designed to find rhythms
from data using extended harmonic oscillators. For more information,
see H. De los Santos et al. (2020)
Twitter Conversation Networks and Analysis
Collects tweets and metadata for threaded conversations and generates networks.
Interactive Exploration of Contour Data
Interactive tools to explore topographic-like data sets. Such data sets take the form of a matrix in which the rows and columns provide location/frequency information, and the matrix elements contain altitude/response information. Such data is found in cartography, 2D spectroscopy and chemometrics. The functions in this package create interactive web pages showing the contoured data, possibly with slices from the original matrix parallel to each dimension. The interactive behavior is created using the 'D3.js' 'JavaScript' library by Mike Bostock.
Regression Data Analysis System
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Rank Intraclass Correlation for Clustered Data
Estimates the rank intraclass correlation coefficient (ICC) for clustered continuous and ordinal data. See Tu et al. (2023)
Collecting Social Media Data and Generating Networks for Analysis
A suite of easy to use functions for collecting social media data and generating networks for analysis. Supports Mastodon, YouTube, Reddit and Web 1.0 data sources.
Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models
Provides tools for penalised maximum likelihood estimation of hidden semi-Markov models (HSMMs) with flexible state dwell-time distributions. These include functions for model fitting, model checking and state-decoding. The package considers HSMMs for univariate time series with state-dependent gamma, normal, Poisson or Bernoulli distributions. For details, see Pohle, J., Adam, T. and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models.