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r-hier.part
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public |
Partitioning of the independent and joint contributions of each variable in a multivariate data set, to a linear regression by hierarchical decomposition of goodness-of-fit measures of regressions using all subsets of predictors in the data set. (i.e., model (1), (2), ..., (N), (1,2), ..., (1,N), ..., (1,2,3,...,N)). A Z-score based estimate of the 'importance' of each predictor is provided by using a randomisation test.
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2025-09-22 |
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r-hdm
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public |
Implementation of selected high-dimensional statistical and econometric methods for estimation and inference. Efficient estimators and uniformly valid confidence intervals for various low-dimensional causal/ structural parameters are provided which appear in high-dimensional approximately sparse models. Including functions for fitting heteroscedastic robust Lasso regressions with non-Gaussian errors and for instrumental variable (IV) and treatment effect estimation in a high-dimensional setting. Moreover, the methods enable valid post-selection inference and rely on a theoretically grounded, data-driven choice of the penalty. Chernozhukov, Hansen, Spindler (2016) <arXiv:1603.01700>.
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2025-09-22 |
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r-nnlasso
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public |
Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
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2025-09-22 |
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certbot-dns-luadns
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public |
LuaDNS DNS Authenticator plugin for Certbot
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2025-09-22 |
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r-colorblindness
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public |
Provide the safe color set for color blindness, the simulator of protanopia, deuteranopia. The color sets are collected from: Wong, B. (2011) <doi:10.1038/nmeth.1618>, and <http://mkweb.bcgsc.ca/biovis2012/>. The simulations of the appearance of the colors to color-deficient viewers were based on algorithms in Vienot, F., Brettel, H. and Mollon, J.D. (1999) <doi:10.1002/(SICI)1520-6378(199908)24:4%3C243::AID-COL5%3E3.0.CO;2-3>. The cvdPlot() function to generate 'ggplot' grobs of simulations were modified from <https://github.com/clauswilke/colorblindr>.
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2025-09-22 |
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certbot-dns-route53
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public |
Amazon Web Services Route 53 DNS Authenticator plugin for Certbot
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2025-09-22 |
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r-available
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public |
Check if a given package name is available to use. It checks the name's validity. Checks if it is used on 'GitHub', 'CRAN' and 'Bioconductor'. Checks for unintended meanings by querying Urban Dictionary, 'Wiktionary' and Wikipedia.
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2025-09-22 |
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r-grates
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public |
Provides a coherent interface and implementation for creating grouped date classes. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
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2025-09-22 |
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certbot-dns-gehirn
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public |
Gehirn Infrastructure Service DNS Authenticator plugin for Certbot
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2025-09-22 |
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certbot-dns-dnsimple
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public |
DNSimple DNS Authenticator plugin for Certbot
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2025-09-22 |
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r-preregr
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public |
Preregistrations, or more generally, registrations, enable explicit timestamped and (often but not necessarily publicly) frozen documentation of plans and expectations as well as decisions and justifications. In research, preregistrations are commonly used to clearly document plans and facilitate justifications of deviations from those plans, as well as decreasing the effects of publication bias by enabling identification of research that was conducted but not published. Like reporting guidelines, (pre)registration forms often have specific structures that facilitate systematic reporting of important items. The 'preregr' package facilitates specifying (pre)registrations in R and exporting them to a human-readable format (using R Markdown partials or exporting to an 'HTML' file) as well as human-readable embedded data (using 'JSON'), as well as importing such exported (pre)registration specifications from such embedded 'JSON'.
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2025-09-22 |
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r-sparql
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public |
Use SPARQL to pose SELECT or UPDATE queries to an end-point.
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2025-09-22 |
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certbot-dns-rfc2136
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public |
RFC 2136 DNS Authenticator plugin for Certbot
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2025-09-22 |
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certbot-dns-digitalocean
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public |
DigitalOcean DNS Authenticator plugin for Certbot
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2025-09-22 |
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pytorch-gpu
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public |
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
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2025-09-22 |
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r-chorddiag
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public |
R interface to D3 chord diagrams.
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2025-09-22 |
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certbot-dns-google
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public |
Google Cloud DNS Authenticator plugin for Certbot
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2025-09-22 |
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r-tca
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public |
Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of heterogeneous sources into a three-dimensional matrix of signals (features by observations by sources). The TCA framework further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects; particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a three-dimensional tensor of cell-type-specific methylation levels for each individual (i.e. methylation sites by individuals by cell types) and it allows to detect cell-type-specific statistical relations (associations) with phenotypes. For more details see Rahmani et al. (2019) <DOI:10.1038/s41467-019-11052-9>.
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2025-09-22 |
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certbot-dns-linode
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public |
Linode DNS Authenticator plugin for Certbot
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2025-09-22 |
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cspice
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public |
NASA ancillary information system
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2025-09-22 |
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r-secretsprovider
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public |
Facilitates secret management by storing credentials in a dedicated file, keeping them out of your code base. The secrets are stored without encryption. This package is compatible with secrets stored by the 'SecretsProvider' 'Python' package <https://pypi.org/project/SecretsProvider/>.
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2025-09-22 |
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r-diffdf
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public |
Functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.
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2025-09-22 |
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r-cleanr
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public |
Check your R code for some of the most common layout flaws. Many tried to teach us how to write code less dreadful, be it implicitly as B. W. Kernighan and D. M. Ritchie (1988) <ISBN:0-13-110362-8> in 'The C Programming Language' did, be it explicitly as R.C. Martin (2008) <ISBN:0-13-235088-2> in 'Clean Code: A Handbook of Agile Software Craftsmanship' did. So we should check our code for files too long or wide, functions with too many lines, too wide lines, too many arguments or too many levels of nesting. Note: This is not a static code analyzer like pylint or the like. Checkout <https://cran.r-project.org/package=lintr> instead.
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2025-09-22 |
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certbot-dns-sakuracloud
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public |
Sakura Cloud DNS Authenticator plugin for Certbot
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2025-09-22 |
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monai
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public |
AI Toolkit for Healthcare Imaging
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2025-09-22 |
