• fda (R)

• Referenced in 1149 articles [sw04511]
• functional data analysis functions and sample analyses through the CRAN distribution system. This ... files containing the functions and sample analyses, as well as two .txt files giving instructions...

• TSPLIB

• Referenced in 640 articles [sw00983]
• TSPLIB is a library of sample instances for the TSP (and related problem) from various...

• TETRAD

• Referenced in 345 articles [sw12177]
• about the true structure in the large sample limit, provided that structure and the sample...

• CoSaMP

• Referenced in 176 articles [sw08727]
• Iterative signal recovery from incomplete and inaccurate samples. Compressive sampling offers a new paradigm ... basis. The major algorithmic challenge in compressive sampling is to approximate a compressible signal from ... noisy samples. This paper describes a new iterative recovery algorithm called CoSaMP that delivers ... requires only matrix-vector multiplies with the sampling matrix. For compressible signals, the running time...

• BUGS

• Referenced in 310 articles [sw07885]
• BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

• EGO

• Referenced in 274 articles [sw07588]
• surface and improving the approximation by sampling where the prediction error may be high...

• NewtonLib

• Referenced in 247 articles [sw04796]
• intended usage. Please read our sample license agreement (or the german version) for more details...

• gss

• Referenced in 240 articles [sw06099]
• conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with...

• Bertini

• Referenced in 196 articles [sw06683]
• Allows for witness set manipulation via both sampling and membership testing. Accepts square or nonsquare...

• Stan

• Referenced in 124 articles [sw10200]
• Stan: A C++ Library for Probability and Sampling. Stan is a probabilistic programming language implementing ... full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with...

• Cayley

• Referenced in 121 articles [sw01053]
• some of the algorithms it incorporates. Four sample CAYLEY programs are given: a test ... easy and comfortable to use. As the sample programs show, novel approaches may be needed...

• C-XSC 2.0

• Referenced in 120 articles [sw00182]
• have to be done. Note, that all sample codes given in [R. Klatte ... work properly with C-XSC 2.0. Sample codes are available on the web page...

• MEMSS

• Referenced in 157 articles [sw11219]
• effects Models in S .Data sets and sample analyses from Pinheiro and Bates, ”Mixed-effects...

• survival

• Referenced in 137 articles [sw04364]
• penalised likelihood , survival analysis: descriptive statistics, two-sample tests, parametric accelerated failure models, Cox model...

• CMA-ES

• Referenced in 89 articles [sw05063]
• evolution strategy, new candidate solutions are sampled according to a multivariate normal distribution ... candidate solutions is exploited for learning the sample distribution and neither derivatives nor even...

• SuLQ

• Referenced in 118 articles [sw11355]
• amount of noise -- much less than the sampling error -- provided the total number of queries...

• TOMS659

• Referenced in 117 articles [sw10686]
• because low discrepancy sequences tend to sample space ”more uniformly” than random numbers. Algorithms that...

• spatstat

• Referenced in 115 articles [sw04429]
• exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types...

• cmprsk

• Referenced in 108 articles [sw11073]
• Gray (1988), A class of K-sample tests for comparing the cumulative incidence...

• GradSamp

• Referenced in 90 articles [sw05270]
• robust gradient sampling algorithm for nonsmooth, nonconvex optimization The authors describe a practical and robust...