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rpdb
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public |
pdb wrapper with remote access via tcp socket
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2025-04-22 |
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r-plotmo
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public |
Plot model surfaces for a wide variety of models using partial dependence plots and other techniques. Also plot model residuals and other information on the model.
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2025-04-22 |
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r-turner
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public |
Package designed for working with vectors and lists of vectors, mainly for turning them into other indexed data structures.
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2025-04-22 |
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r-kpmt
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public |
Functions that implement the known population median test.
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2025-04-22 |
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r-geem
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public |
GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The 'M' in the name 'geeM' is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.
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2025-04-22 |
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r-metafor
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public |
A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.
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2025-04-22 |
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r-sparselda
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public |
Performs sparse linear discriminant analysis for Gaussians and mixture of Gaussian models.
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2025-04-22 |
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r-mda
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public |
Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, ...
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2025-04-22 |
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r-lpsolveapi
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public |
The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
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2025-04-22 |
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hupper
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public |
Integrated process monitor for developing and reloading daemons.
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2025-04-22 |
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pyramid
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public |
The Pyramid Web Framework, a Pylons project
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2025-04-22 |
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filesystem-spec
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public |
A specification for pythonic filesystems
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2025-04-22 |
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plaster_pastedeploy
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public |
A loader implementing the PasteDeploy syntax to be used by plaster.
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2025-04-22 |
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plaster
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public |
A loader interface around multiple config file formats.
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2025-04-22 |
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r-pdftools
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public |
Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents info PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
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2025-04-22 |
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r-lasso2
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public |
Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998).
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2025-04-22 |
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r-mongolite
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public |
High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS.
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2025-04-22 |
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r-kza
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public |
Time Series Analysis including break detection, spectral analysis, KZ Fourier Transforms.
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2025-04-22 |
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safe-netrc
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public |
Safe netrc file parser
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2025-04-22 |
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r-distrex
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public |
Extends package 'distr' by functionals, distances, and conditional distributions.
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2025-04-22 |
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r-tkrplot
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public |
Simple mechanism for placing R graphics in a Tk widget.
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2025-04-22 |
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r-rhpcblasctl
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public |
Control the number of threads on 'BLAS' (Aka 'GotoBLAS', 'OpenBLAS', 'ACML', 'BLIS' and 'MKL'). And possible to control the number of threads in 'OpenMP'. Get a number of logical cores and physical cores if feasible.
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2025-04-22 |
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r-dppackage
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public |
Functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Linear Dependent Tailfree Processes, Mixtures of Triangular distributions, Random Bernstein polynomials priors and Dependent Bernstein Polynomials. The package also includes models considering Penalized B-Splines. Includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. Also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the 'coda' package.
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2025-04-22 |
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r-logicreg
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public |
Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperberg, and LeBlanc (2003) <DOI:10.1198/1061860032238>. Monte Carlo Logic Regression is described in and Kooperberg and Ruczinski (2005) <DOI:10.1002/gepi.20042>.
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2025-04-22 |
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r-diffusr
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public |
Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.
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2025-04-22 |
