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r-overviewr
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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.
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2025-09-23 |
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r-pzfx
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public |
Read and write 'GraphPad Prism' '.pzfx' files in R.
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2025-09-23 |
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r-plsvarsel
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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.
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2025-09-23 |
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typer-slim
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public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
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2025-09-23 |
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typer-slim-standard
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public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
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2025-09-23 |
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typer
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public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
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2025-09-23 |
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typer-cli
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public |
Typer, build great CLIs. Easy to code. Based on Python type hints.
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2025-09-23 |
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r-mlmrev
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public |
Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
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2025-09-23 |
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redun
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public |
Yet another redundant workflow engine.
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2025-09-23 |
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schwifty
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public |
Validate/generate IBANs and BICs
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2025-09-23 |
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xhydro
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public |
Hydrological analysis library built with xarray.
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2025-09-23 |
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django-htmx
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public |
Extensions for using Django with htmx.
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2025-09-23 |
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uxsim
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public |
Vehicular traffic flow simulator in road network, written in pure Python
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2025-09-23 |
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r-penalized
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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.
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2025-09-23 |
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anyio
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public |
High level compatibility layer for multiple asynchronous event loop implementations on Python
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2025-09-23 |
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r-scam
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public |
Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
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2025-09-23 |
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r-cuperdec
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public |
Calculates and visualises cumulative percent 'decay' curves, which are typically calculated from metagenomic taxonomic profiles. These can be used to estimate the level of expected 'endogenous' taxa at different abundance levels retrieved from metagenomic samples, when comparing to samples of known sampling site or source. Method described in Fellows Yates, J. A. et. al. (2021) Proceedings of the National Academy of Sciences USA <doi:10.1073/pnas.2021655118>.
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2025-09-23 |
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r-ensr
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public |
Elastic net regression models are controlled by two parameters, lambda, a measure of shrinkage, and alpha, a metric defining the model's location on the spectrum between ridge and lasso regression. glmnet provides tools for selecting lambda via cross validation but no automated methods for selection of alpha. Elastic Net SearcheR automates the simultaneous selection of both lambda and alpha. Developed, in part, with support by NICHD R03 HD094912.
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2025-09-23 |
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r-deconvolver
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public |
Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods. Details and examples are in the paper by Narasimhan and Efron (2020, <doi:10.18637/jss.v094.i11>).
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2025-09-23 |
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r-spelling
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public |
Spell checking common document formats including latex, markdown, manual pages, and description files. Includes utilities to automate checking of documentation and vignettes as a unit test during 'R CMD check'. Both British and American English are supported out of the box and other languages can be added. In addition, packages may define a 'wordlist' to allow custom terminology without having to abuse punctuation.
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2025-09-23 |
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r-mustat
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public |
Performs Wilcox rank sum test, Kruskal rank sum test, Friedman rank sum test and McNemar test.
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2025-09-23 |
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r-qualv
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public |
Qualitative methods for the validation of dynamic models. It contains (i) an orthogonal set of deviance measures for absolute, relative and ordinal scale and (ii) approaches accounting for time shifts. The first approach transforms time to take time delays and speed differences into account. The second divides the time series into interval units according to their main features and finds the longest common subsequence (LCS) using a dynamic programming algorithm.
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2025-09-23 |
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r-bindrcpp
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public |
Provides an easy way to fill an environment with active bindings that call a C++ function.
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2025-09-23 |
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gstools-cython
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public |
Cython backend for GSTools.
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2025-09-23 |
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r-sparsepp
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public |
Provides interface to 'sparsepp' - fast, memory efficient hash map. It is derived from Google's excellent 'sparsehash' implementation. We believe 'sparsepp' provides an unparalleled combination of performance and memory usage, and will outperform your compiler's unordered_map on both counts. Only Google's 'dense_hash_map' is consistently faster, at the cost of much greater memory usage (especially when the final size of the map is not known in advance).
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2025-09-23 |
