This package provides FFI bindings of GDK 4.

This package provides FFI bindings of GDK 4.

This package provides Rust bindings of the GDK4 X11 library.

This package provides a complete GCC tool chain for D lang development to be installed in user profiles. This includes gdc, as well as libc (headers and binaries, plus debugging symbols in the debug output), and binutils.

This package provides a complete GCC tool chain for D lang development to be installed in user profiles. This includes gdc, as well as libc (headers and binaries, plus debugging symbols in the debug output), and binutils.

R package with internal dose-response test data. Package provides functions to generate input testing data that can be used as the input for gDR pipeline. It also contains qs files with MAE data processed by gDR.

Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.

GDB is the GNU debugger. With it, you can monitor what a program is doing while it runs or what it was doing just before a crash. It allows you to specify the runtime conditions, to define breakpoints, and to change how the program is running to try to fix bugs. It can be used to debug programs written in C, C++, Ada, Objective-C, Pascal and more.

This is an easy-to-use package for downloading, organizing, and integrative analyzing RNA expression data in GDC with an emphasis on deciphering the lncRNA-mRNA related ceRNA regulatory network in cancer. Three databases of lncRNA-miRNA interactions including spongeScan, starBase, and miRcode, as well as three databases of mRNA-miRNA interactions including miRTarBase, starBase, and miRcode are incorporated into the package for ceRNAs network construction. limma, edgeR, and DESeq2 can be used to identify differentially expressed genes/miRNAs. Functional enrichment analyses including GO, KEGG, and DO can be performed based on the clusterProfiler and DO packages. Both univariate CoxPH and KM survival analyses of multiple genes can be implemented in the package. Besides some routine visualization functions such as volcano plot, bar plot, and KM plot, a few simply shiny apps are developed to facilitate visualization of results on a local webpage.

This package contains function definitions for the Windows API library gdi32.

This package provides a collection of GDB tips. 100 maybe just mean many here.

Guile bindings to the GDBM key-value storage system, using Guile's foreign function interface.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings of the GDK4 Win32 library.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings for the GdkPixbuf library.

This package provides Rust bindings for the GdkPixbuf library.

GdkPixbuf-Xlib contains the deprecated API for integrating GdkPixbuf with Xlib data types. This library was originally shipped by gdk-pixbuf, and has since been moved out of the original repository. No newly written code should ever use this library.

R's sf package ships with self-contained GDAL executables, including a bare bones interface to several GDAL'-related utility programs collectively known as the GDAL utilities'. For each of those utilities, this package provides an R wrapper whose formal arguments closely mirror those of the GDAL command line interface. The utilities operate on data stored in files and typically write their output to other files. Therefore, to process data stored in any of R's more common spatial formats (i.e. those supported by the sf and terra packages), first write them to disk, then process them with the package's wrapper functions before reading the outputted results back into R. GDAL function arguments introduced in GDAL version 3.5.2 or earlier are supported.