Chat with large language models on your machine without internet with complete privacy via ollama', powered by R shiny interface. For more information on ollama', visit <https://ollama.com>.

Streamline the processing of Telraam data, sourced from open data mobility sensors. These tools range from data retrieval (without the need for API knowledge) to data visualization, including data preprocessing.

Interface to TensorFlow Estimators <https://www.tensorflow.org/guide/estimator>, a high-level API that provides implementations of many different model types including linear models and deep neural networks.

This package implements a bioinformatics algorithm for demultiplexing multiplexed single cell datasets. It is built on a statistical model of tag read counts derived from the physical mechanism of tag cross-contamination.

Building on the infrastructure provided by the lattice package, this package provides several new high-level graphics functions and methods, as well as additional utilities such as panel and axis annotation functions.

Commander aims to be a complete solution for Ruby command-line executables. Commander bridges the gap between other terminal related libraries (OptionParser, HighLine), while providing many new features, and an elegant API.

This package provides LaTeX, pdfLaTeX, XeLaTeX and LuaLaTeX support for the Roboto Sans, Roboto Condensed, Roboto Mono, Roboto Slab and Roboto Serif families of fonts, designed by Christian Robertson and Greg Gazdowicz.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Barley1\_probe\_tab.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Chicken\_probe\_tab.

Experimental data with Affymetrix E. coli chips, as reported in She-pin Hung, Pierre Baldi, and G. Wesley Hatfield, J. Biol. Chem., Vol. 277, Issue 43, 40309-40323, October 25, 2002.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was MOE430B\_probe\_tab.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was MOE430A\_probe\_tab.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Porcine\_probe\_tab.

This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Soybean\_probe\_tab.

An R interface to the Base dos Dados API <https://basedosdados.org/docs/api_reference_python/>). Authenticate your project, query our tables, save data to disk and memory, all from R.

Prints code that can be used to recreate R objects. In a sense it is similar to base::dput() or base::deparse() but constructive strives to use idiomatic constructors.

This package provides a toolkit for making use of credentials mediated by Posit Connect'. It handles the details of communicating with the Connect API correctly, OAuth token caching, and refresh behaviour.

Create CUSUM (cumulative sum) statistics from a vector or dataframe. Also create single or faceted CUSUM control charts, with or without control limits. Accepts vector, dataframe, tibble or data.table inputs.

This package performs backward elimination with similar syntax to the stepAIC() function from the MASS package. A bounding algorithm is used to avoid fitting unnecessary models, making it much faster.

Individual-based simulations forward in time, simulating how patterns in ancestry along the genome change after admixture. Full description can be found in Janzen (2021) <doi:10.1111/2041-210X.13612>.

To assess a summary survival curve from survival probabilities and number of at-risk patients collected at various points in time in various studies, and to test the between-strata heterogeneity.

Flexible optimizer with numerous input specifications for detailed parameterisation. Designed for complex loss functions with state and parameter space constraints. Visualization tools for validation and analysis of the convergence are included.

This package provides functions to estimate the proportion of treatment effect explained by the surrogate marker using a Bayesian Model Averaging approach. Duan and Parast (2023) <doi:10.1002/sim.9986>.

This package provides nonparametric Steinian shrinkage estimators of the covariance matrix that are suitable in high dimensional settings, that is when the number of variables is larger than the sample size.