This package provides counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.

This package does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.

Proto is an object oriented system using object-based, also called prototype-based, rather than class-based object oriented ideas.

Ronn-NG is an updated fork of ronn. It builds manuals in HTML and Unix man page format from Markdown.

Remmina is a client to use other desktops remotely. RDP, VNC, SPICE, NX, XDMCP, SSH and EXEC network protocols are supported.

Gene Set Enrichment Analysis of P-value based statistics for outlier gene detection in dataset merged from multiple studies.

This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.

This package provides a set of annotation maps describing the entire MeSH assembled using data from MeSH.

MEDME allows the prediction of absolute and relative methylation levels based on measures obtained by MeDIP-microarray experiments.

Collect your data on digital marketing campaigns from Awin using the Windsor.ai API <https://windsor.ai/api-fields/>.

Primarily created as an easy and understanding way to do basic sequences surrounding the central dogma of molecular biology.

Easily cache and retrieve computation results. The package works seamlessly across interactive R sessions, R scripts and Rmarkdown documents.

Method for identifying the instar of Curculionid larvae from the observed distribution of the headcapsule size of mature larvae.

Overload utils::'? to build unary and binary operators from existing functions, piping operators of different precedence, and flexible syntaxes.

This package provides a tool to operate a batch of univariate or multivariate Cox models and return tidy result.

Test function arguments with a wide array of inputs, and produce reports summarizing messages, warnings, errors, and returned values.

FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.

This package contains a suite of shiny applications meant to explore linear model inference feature through simulation and games.

This package provides a utility to facilitate the logging and review of R programs in clinical trial programming workflows.

Read and write access to PNG image files using the LodePNG library. The package has no external dependencies.

Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).

Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.

Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).

Facilitates building a nesting or hierarchical structure as a list or data frame by using a human friendly syntax.