|
r-mosaiccalc
|
public |
Software to support the introductory *MOSAIC Calculus* textbook <https://www.mosaic-web.org/MOSAIC-Calculus/>), one of many data- and modeling-oriented educational resources developed by Project MOSAIC (<https://www.mosaic-web.org/>). Provides symbolic and numerical differentiation and integration, as well as support for applied linear algebra (for data science), and differential equations/dynamics. Includes grammar-of-graphics-based functions for drawing vector fields, trajectories, etc. The software is suitable for general use, but intended mainly for teaching calculus.
|
2025-10-01 |
|
diffpy.pdfgui
|
public |
GUI for PDF simulation and structure refinement
|
2025-10-01 |
|
r-ggpattern
|
public |
Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
|
2025-10-01 |
|
r-rfoc
|
public |
Graphics for statistics on a sphere, as applied to geological fault data, crystallography, earthquake focal mechanisms, radiation patterns, ternary plots and geographical/geological maps. Non-double couple plotting of focal spheres and source type maps are included for statistical analysis of moment tensors.
|
2025-10-01 |
|
r-s2dverification
|
public |
Set of tools to verify forecasts through the computation of typical prediction scores against one or more observational datasets or reanalyses (a reanalysis being a physical extrapolation of observations that relies on the equations from a model, not a pure observational dataset). Intended for seasonal to decadal climate forecasts although can be useful to verify other kinds of forecasts. The package can be helpful in climate sciences for other purposes than forecasting.
|
2025-10-01 |
|
xorg-printproto
|
public |
Print extension headers
|
2025-10-01 |
|
awsebcli
|
public |
Command Line Interface for AWS EB.
|
2025-10-01 |
|
assyst
|
public |
A minimal reference implementation of ASSYST method to generate transferable training data for machine learning potentials
|
2025-10-01 |
|
boto3-stubs-lite
|
public |
Type annotations for boto3 1.40.42, generated with mypy-boto3-builder
|
2025-10-01 |
|
boto3-stubs-lite-essential
|
public |
Type annotations for boto3 1.40.42, generated with mypy-boto3-builder
|
2025-10-01 |
|
paradigm
|
public |
Python objects metadata parser.
|
2025-10-01 |
|
libgz-physics8
|
public |
Abstract physics interface designed to support simulation and rapid development of robot applications.
|
2025-10-01 |
|
gz-physics8
|
public |
Abstract physics interface designed to support simulation and rapid development of robot applications.
|
2025-10-01 |
|
r-gstat
|
public |
Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
|
2025-10-01 |
|
gsd
|
public |
General simulation data
|
2025-10-01 |
|
nvshmem4py
|
public |
C++ accelerated Python bindings for NVIDIA NVSHMEM built with Cython
|
2025-10-01 |
|
libnvshmem-static
|
public |
NVIDIA NVSHMEM is an NVIDIA based "shared memory" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.
|
2025-10-01 |
|
libnvshmem-dev
|
public |
NVIDIA NVSHMEM is an NVIDIA based "shared memory" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.
|
2025-10-01 |
|
libnvshmem3
|
public |
NVIDIA NVSHMEM is an NVIDIA based "shared memory" library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.
|
2025-10-01 |
|
python-socketio
|
public |
Socket.IO server
|
2025-10-01 |
|
terraform-provider-google
|
public |
The Terraform Google provider
|
2025-09-30 |
|
r-mote
|
public |
Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect sizes in the mean differences family (all versions of d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central confidence intervals for each effect size, relevant test statistics, and output for reporting in APA Style (American Psychological Association, 2010, <ISBN:1433805618>) with 'LaTeX'. In research, an over-reliance on p-values may conceal the fact that a study is under-powered (Halsey, Curran-Everett, Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>), the vast majority of peer-reviewed, published academic studies stop short of reporting effect sizes and confidence intervals (Cumming, 2013, <doi:10.1177/0956797613504966>). 'MOTE' simplifies the use and interpretation of effect sizes and confidence intervals. For more information, visit <https://www.aggieerin.com/shiny-server>.
|
2025-09-30 |
|
archinfo
|
public |
Classes with architecture-specific information useful to other projects.
|
2025-09-30 |
|
r-userfriendlyscience
|
public |
Contains a number of functions that serve two goals. First, to make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents (also see <https://rosettastats.com>). Second, to make a number of slightly more advanced functions more user friendly to relatively novice users. The package also conveniently houses a number of additional functions that are intended to increase the quality of methodology and statistics in psychology, not by offering technical solutions, but by shifting perspectives, for example towards reasoning based on sampling distributions as opposed to on point estimates.
|
2025-09-30 |
|
r-apatables
|
public |
A common task faced by researchers is the creation of APA style (i.e., American Psychological Association style) tables from statistical output. In R a large number of function calls are often needed to obtain all of the desired information for a single APA style table. As well, the process of manually creating APA style tables in a word processor is prone to transcription errors. This package creates Word files (.doc files) containing APA style tables for several types of analyses. Using this package minimizes transcription errors and reduces the number commands needed by the user.
|
2025-09-30 |
