Found 1156 packages in 0.03 seconds
Analyzing Dendrometer Data
Various functions to import, verify, process and plot
high-resolution dendrometer data using daily and stem-cycle approaches
as described in Deslauriers et al, 2007
An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
Leverages the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (< https://www.statmodel.com>). Specifically, this package provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Classification and Regression Tests
Provides wrapper functions for running classification and regression tests using different machine learning techniques, such as Random Forests and decision trees. The package provides standardized methods for preparing data to suit the algorithm's needs, training a model, making predictions, and evaluating results. Also, some functions are provided to run multiple instances of a test.
'BERTopic'-Style Topic Modeling Without 'Python'
Implements the 'BERTopic' topic modeling pipeline directly in R: transformer-based sentence embedding, Uniform Manifold Approximation and Projection dimensionality reduction, Hierarchical Density-Based Spatial Clustering of Applications with Noise clustering, and class-based term frequency-inverse document frequency topic extraction - all without any dependency on 'Python', 'conda', or 'reticulate'. Every stage runs in R through 'torch', 'safetensors', 'tok', 'uwot', and 'dbscan'. The package mirrors the accessor API of the original 'Python' package, adds integrated quality metrics and hyperparameter search tools, and introduces part-of-speech filtered and C-value-ranked representation models.
Vectorised Tools for URL Handling and Parsing
A toolkit for all URL-handling needs, including encoding and decoding, parsing, parameter extraction and modification. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.
Perform Phylogenetic Path Analysis
A comprehensive and easy to use R implementation of confirmatory
phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer
(2012)
Minimization Methods for Ill-Conditioned Problems
Implementation of methods for minimizing ill-conditioned problems. Currently only includes regularized (quasi-)newton optimization (Kanzow and Steck et al. (2023),
Gene Cluster Visualizations
Provides tools for plotting gene clusters and transcripts by
importing data from GenBank, FASTA, and GFF files. It performs BLASTP and
MUMmer alignments [Altschul et al. (1990)
'shiny' Cron Expression Input Widget
A widget for 'shiny' apps to handle schedule expression input, using the 'cron-expression-input' JavaScript component. Note that this does not edit the 'crontab' file, it is just an input element for the schedules. See < https://github.com/DatalabFabriek/shinycroneditor/blob/main/inst/examples/shiny-app.R> for an example implementation.
Context-Aware AI Assistant for 'RStudio'
A context-aware AI assistant for 'RStudio' that works directly in the source editor without switching context or opening a separate chat window. Reads the cursor position and selection to automatically choose the right action - generate, complete, continue, edit, or comment. Supports configuration of multiple large language model providers and can be invoked via the keyboard shortcut or Addins menu.