Fit and simulate a semiparametric bivariate correlated frailty models with proportional hazard structure. Frailty distributions, such as gamma and lognormal models are supported. Bivariate gamma fit is obtained using the approach given in Iachine (1995) and lognormal fit is based on the approach by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>.

This package provides functions to utilize a command line utility that does bulk inserts and exports from SQL Server databases.

This is a tool for human B-cell context-specific transcriptional regulatory network. In addition, this package provides a human normal B-cells dataset for the examples in package viper.

The Racket BC (``before Chez'' or ``bytecode'') implementation was the default before Racket 8.0. It uses a compiler written in C targeting architecture-independent bytecode, plus a JIT compiler on most platforms. Racket BC has a different C API than the current default runtime system, Racket CS (based on ``Chez Scheme'').

This package is the normal implementation of Racket BC with a precise garbage collector, 3M (``Moving Memory Manager'').

This package contains user-space utilities to create and inspect bcache partitions. It's rather minimal as bcache is designed to work well without configuration on any system.

Linux's bcache lets one or more fast block devices, such as flash-based SSDs, to act as a cache for one or more slower (and inexpensive) devices, such as hard disk drives or redundant storage arrays. In fact, bcache intends to be a superior alternative to battery-backed RAID controllers.

Bcache is designed around the performance characteristics of SSDs and tries to minimize write inflation. It's file-system agnostic and does both write-through and write-back caching.

Many clustering methods have been proposed, but most of them cannot work for longitudinal gene expression data. BClustLonG is a package that allows us to perform clustering analysis for longitudinal gene expression data. It adopts a linear-mixed effects framework to model the trajectory of genes over time, while clustering is jointly conducted based on the regression coefficients obtained from all genes. To account for the correlations among genes and alleviate the high dimensionality challenges, factor analysis models are adopted for the regression coefficients. The Dirichlet process prior distribution is utilized for the means of the regression coefficients to induce clustering. This package allows users to specify which variables to use for clustering (intercepts or slopes or both) and whether a factor analysis model is desired. More details about this method can be found in Jiehuan Sun, et al. (2017) <doi:10.1002/sim.7374>.

Bcrypt is a Python module which provides a password hashing method based on the Blowfish password hashing algorithm, as described in "A Future-Adaptable Password Scheme" by Niels Provos and David Mazieres.

Fit and simulate bivariate correlated frailty models with proportional hazard structure. Frailty distributions, such as gamma and lognormal models are supported for semiparametric procedures. Frailty variances of the two subjects can be varied or equal. Details on the models are available in book of Wienke (2011,ISBN:978-1-4200-7388-1). Bivariate gamma fit is obtained using the approach given in Iachine (1995) with modifications. Lognormal fit is based on the approach by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>. Frailty distributions, such as gamma, inverse gaussian and power variance frailty models are supported for parametric approach.

The package provides horizontal bar charts, drawn using TikZ on a numeric X-axis. The focus of the package is simplicity and aesthetics.

The package facilitates the creation of colorful boxes with a title and logo. It may use either TikZ or PSTricks as graphics engine.

The bias-corrected estimation methods for the receiver operating characteristics ROC surface and the volume under ROC surfaces (VUS) under missing at random (MAR) assumption.

This package provides the bcachefs command-line tool with many subcommands for creating, checking, and otherwise managing bcachefs file systems. Traditional aliases like mkfs.bcachefs are also included.

Bcachefs is a CoW file system supporting native encryption, compression, snapshots, and (meta)data checksums. It can use multiple block devices for replication and/or performance, similar to RAID.

In addition, bcachefs provides all the functionality of bcache, a block-layer caching system, and lets you assign different roles to each device based on its performance and other characteristics.

This package provides an implementation of the Branch / Call / Jump conversion filter by CFFI for Python.

This package provides the statically-linked bcachefs from a minimal bcachefs-tools package. It is meant to be used in initrds.

Ant is a platform-independent build tool for Java. It is similar to make but is implemented using the Java language, requires the Java platform, and is best suited to building Java projects. Ant uses XML to describe the build process and its dependencies, whereas Make uses Makefile format.

This package lets you read and write files in Generic Feature Format (GFF) with Biopython integration.

This package lets you read and write files in Generic Feature Format (GFF) with Biopython integration.

This package provides bcrypt-pbkdf password-based key derivation function.

This package provides bcrypt-pbkdf password-based key derivation function.

Port of the OpenBSD bcrypt_pbkdf function to pure JS

This package provides bcrypt-pbkdf password-based key derivation function.

This package provides bcrypt-pbkdf password-based key derivation function.

This gem implements bcrypt_pbkdf, which is a variant of PBKDF2 (Password-Based Key Derivation Function 2) with bcrypt-based pseudorandom function. This is currently used by net-ssh to read password encrypted Ed25519 keys.

The Byte Code Engineering Library (Apache Commons BCEL) is intended to give users a convenient way to analyze, create, and manipulate (binary) Java class files. Classes are represented by objects which contain all the symbolic information of the given class: methods, fields and byte code instructions, in particular.

Such objects can be read from an existing file, be transformed by a program (e.g. a class loader at run-time) and written to a file again. An even more interesting application is the creation of classes from scratch at run-time. The Byte Code Engineering Library (BCEL) may be also useful if you want to learn about the Java Virtual Machine (JVM) and the format of Java .class files.