|
r-calendr
|
public |
Contains the function calendR() for creating fully customizable monthly and yearly calendars (colors, fonts, formats, ...) and even heatmap calendars. In addition, it allows saving the calendars in ready to print A4 format PDF files.
|
2025-09-23 |
|
r-fusen
|
public |
Use Rmarkdown First method to build your package. Start your package with documentation, functions, examples and tests in the same unique file. Everything can be set from the Rmarkdown template file provided in your project, then inflated as a package. Inflating the template copies the relevant chunks and sections in the appropriate files required for package development.
|
2025-09-23 |
|
r-aods3
|
public |
Provides functions to analyse overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM). aods3 is an S3 re-implementation of the deprecated S4 package aod.
|
2025-09-23 |
|
r-tinyplot
|
public |
Lightweight extension of the base R graphics system, with support for automatic legends, facets, and various other enhancements.
|
2025-09-23 |
|
r-dmwr
|
public |
This package includes functions and data accompanying the book "Data Mining with R, learning with case studies" by Luis Torgo, CRC Press 2010.
|
2025-09-23 |
|
r-biwt
|
public |
Compute multivariate location, scale, and correlation estimates based on Tukey's biweight M-estimator.
|
2025-09-23 |
|
r-overviewr
|
public |
Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable 'LaTeX' code to present the sample information.
|
2025-09-23 |
|
r-pzfx
|
public |
Read and write 'GraphPad Prism' '.pzfx' files in R.
|
2025-09-23 |
|
r-plsvarsel
|
public |
Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
|
2025-09-23 |
|
typer-slim
|
public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
|
2025-09-23 |
|
typer-slim-standard
|
public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
|
2025-09-23 |
|
typer
|
public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
|
2025-09-23 |
|
typer-cli
|
public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
|
2025-09-23 |
|
r-mlmrev
|
public |
Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
|
2025-09-23 |
|
redun
|
public |
Yet another redundant workflow engine.
|
2025-09-23 |
|
schwifty
|
public |
Validate/generate IBANs and BICs
|
2025-09-23 |
|
xhydro
|
public |
Hydrological analysis library built with xarray.
|
2025-09-23 |
|
django-htmx
|
public |
Extensions for using Django with htmx.
|
2025-09-23 |
|
uxsim
|
public |
Vehicular traffic flow simulator in road network, written in pure Python
|
2025-09-23 |
|
r-skpr
|
public |
Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible.
|
2025-09-23 |
|
r-penalized
|
public |
Fitting possibly high dimensional penalized regression models. The penalty structure can be any combination of an L1 penalty (lasso and fused lasso), an L2 penalty (ridge) and a positivity constraint on the regression coefficients. The supported regression models are linear, logistic and Poisson regression and the Cox Proportional Hazards model. Cross-validation routines allow optimization of the tuning parameters.
|
2025-09-23 |
|
anyio
|
public |
High level compatibility layer for multiple asynchronous event loop implementations on Python
|
2025-09-23 |
|
libgz-transport13
|
public |
Transport library for component communication based on publication/subscription and service calls.
|
2025-09-23 |
|
gz-transport13-python
|
public |
Transport library for component communication based on publication/subscription and service calls.
|
2025-09-23 |
|
gz-transport13
|
public |
Transport library for component communication based on publication/subscription and service calls.
|
2025-09-23 |
