
fda (R)
 Referenced in 1346 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 665 articles
[sw00983]
 TSPLIB is a library of sample instances for the TSP (and related problem) from various...

TETRAD
 Referenced in 395 articles
[sw12177]
 about the true structure in the large sample limit, provided that structure and the sample...

CoSaMP
 Referenced in 207 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 matrixvector multiplies with the sampling matrix. For compressible signals, the running time...

BUGS
 Referenced in 364 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

EGO
 Referenced in 349 articles
[sw07588]
 surface and improving the approximation by sampling where the prediction error may be high...

gss
 Referenced in 277 articles
[sw06099]
 conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with...

NewtonLib
 Referenced in 273 articles
[sw04796]
 intended usage. Please read our sample license agreement (or the german version) for more details...

Stan
 Referenced in 189 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...

SMOTE
 Referenced in 128 articles
[sw34239]
 SMOTE: Synthetic Minority Oversampling Technique. An approach to the construction of classifiers from imbalanced ... cost of the reverse error. Undersampling of the majority (normal) class has been proposed ... combination of our method of oversampling the minority (abnormal) class and undersampling ... performance (in ROC space) than only undersampling the majority class. This paper also shows...

Bertini
 Referenced in 231 articles
[sw06683]
 Allows for witness set manipulation via both sampling and membership testing. Accepts square or nonsquare...

MEMSS
 Referenced in 191 articles
[sw11219]
 effects Models in S .Data sets and sample analyses from Pinheiro and Bates, ”Mixedeffects...

Cayley
 Referenced in 131 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...

CXSC 2.0
 Referenced in 125 articles
[sw00182]
 have to be done. Note, that all sample codes given in [R. Klatte ... work properly with CXSC 2.0. Sample codes are available on the web page...

survival
 Referenced in 164 articles
[sw04364]
 penalised likelihood , survival analysis: descriptive statistics, twosample tests, parametric accelerated failure models, Cox model...

CMAES
 Referenced in 106 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...

copula
 Referenced in 137 articles
[sw14499]
 package ’nacopula’ for nested Archimedean copulas: Efficient sampling algorithms, various estimators, goodnessoffit tests...

spatstat
 Referenced in 131 articles
[sw04429]
 exploratory data analysis, modelfitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types...

TOMS659
 Referenced in 131 articles
[sw10686]
 because low discrepancy sequences tend to sample space ”more uniformly” than random numbers. Algorithms that...

cmprsk
 Referenced in 128 articles
[sw11073]
 Gray (1988), A class of Ksample tests for comparing the cumulative incidence...