|
yacron
|
public |
A modern Cron replacement that is Docker-friendly
|
2025-04-22 |
|
apistar
|
public |
API documentation, validation, mocking, and clients.
|
2025-04-22 |
|
r-syuzhet
|
public |
Extracts sentiment and sentiment-derived plot arcs from text using a variety of sentiment dictionaries conveniently packaged for consumption by R users. Implemented dictionaries include "syuzhet" (default) developed in the Nebraska Literary Lab "afinn" developed by Finn {\AA}rup Nielsen, "bing" developed by Minqing Hu and Bing Liu, and "nrc" developed by Mohammad, Saif M. and Turney, Peter D. Applicable references are available in README.md and in the documentation for the "get_sentiment" function. The package also provides a hack for implementing Stanford's coreNLP sentiment parser. The package provides several methods for plot arc normalization.
|
2025-04-22 |
|
cfflib
|
public |
Connectome File Format Library
|
2025-04-22 |
|
visidata
|
public |
A terminal interface for exploring and arranging tabular data.
|
2025-04-22 |
|
rowan
|
public |
Perform quaternion operations using numpy arrays
|
2025-04-22 |
|
xpdconf
|
public |
Configuration for XPD beamlines
|
2025-04-22 |
|
r-tidyxl
|
public |
Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.
|
2025-04-22 |
|
r-textshape
|
public |
Tools that can be used to reshape and restructure text data.
|
2025-04-22 |
|
r-qdapregex
|
public |
A collection of regular expression tools associated with the 'qdap' package that may be useful outside of the context of discourse analysis. Tools include removal/extraction/replacement of abbreviations, dates, dollar amounts, email addresses, hash tags, numbers, percentages, citations, person tags, phone numbers, times, and zip codes.
|
2025-04-22 |
|
r-genlasso
|
public |
Provides fast algorithms for computing the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two problems are given to improve stability and speed.
|
2025-04-22 |
|
r-mgsub
|
public |
Designed to enable simultaneous substitution in strings in a safe fashion. Safe means it does not rely on placeholders (which can cause errors in same length matches).
|
2025-04-22 |
|
astcheck
|
public |
Check Python ASTs against templates
|
2025-04-22 |
|
r-english
|
public |
Allow numbers to be presented in an English language version, one, two, three, ... Ordinals are also available, first, second, third, ...
|
2025-04-22 |
|
qt_style_sheet_inspector
|
public |
A inspector widget to view and modify style sheet of a Qt app in runtime.
|
2025-04-22 |
|
huey
|
public |
huey, a little task queue
|
2025-04-22 |
|
heliopy
|
public |
Python for space physics
|
2025-04-22 |
|
r-demerelate
|
public |
Functions to calculate pairwise relatedness on diploid genetic datasets. Different estimators for relatedness can be combined with information on geographical distances. Information on heterozygosity, allele- and genotype diversity as well as genetic F-statistics are provided for each population.
|
2025-04-22 |
|
r-coxphf
|
public |
Implements Firth's penalized maximum likelihood bias reduction method for Cox regression which has been shown to provide a solution in case of monotone likelihood (nonconvergence of likelihood function). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.
|
2025-04-22 |
|
r-linselect
|
public |
Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
|
2025-04-22 |
|
r-survauc
|
public |
The package provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.
|
2025-04-22 |
|
r-stabs
|
public |
Resampling procedures to assess the stability of selected variables with additional finite sample error control for high-dimensional variable selection procedures such as Lasso or boosting. Both, standard stability selection (Meinshausen & Buhlmann, 2010, <doi:10.1111/j.1467-9868.2010.00740.x>) and complementary pairs stability selection with improved error bounds (Shah & Samworth, 2013, <doi:10.1111/j.1467-9868.2011.01034.x>) are implemented. The package can be combined with arbitrary user specified variable selection approaches.
|
2025-04-22 |
|
r-sjlabelled
|
public |
Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
|
2025-04-22 |
|
r-plsdof
|
public |
The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures. Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
|
2025-04-22 |
|
r-piton
|
public |
A wrapper around the 'Parsing Expression Grammar Template Library', a C++11 library for generating Parsing Expression Grammars, that makes it accessible within Rcpp. With this, developers can implement their own grammars and easily expose them in R packages.
|
2025-04-22 |
