• bootlib

  • Referenced in 461 articles [sw40642]
  • with S-Plus. A library of functions and data written by Angelo Canty to accompany ... methods are computer-intensive methods of statistical analysis using simulation to obtain reliable standard errors ... generalized linear models and nonlinear models, and time series, spatial data and point processes. Chapter ... describes various semiparametric versions of the likelihood function and the ideas underlying which are closely...
  • FEAP

  • Referenced in 194 articles [sw04963]
  • FEAP is a general purpose finite element analysis program which is designed for research ... defining a wide range of linear and nonlinear solution algorithms, graphics options for displaying meshes ... values, an element library for linear and nonlinear solids, thermal elements, two and three dimensional ... necessary to write user functions to input the data generated from the mesh generation program...
  • LISP-STAT

  • Referenced in 117 articles [sw01111]
  • extensible statistical computing environment for data analysis, statistical instruction and research, with an emphasis ... variety of basic statistical and linear algebra functions. A portable window system interface forms ... statistical model representations, such as linear and nonlinear regression models and generalized linear models. Many...
  • pyunicorn

  • Referenced in 8 articles [sw19314]
  • Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package ... data analysis and modeling from complex network theory and nonlinear time series analysis. exttt{pyunicorn ... construction of functional networks such as climate networks in climatology or functional brain networks ... structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this...
  • CMARS

  • Referenced in 31 articles [sw08523]
  • regression splines supported by continuous optimization Regression analysis is a widely used statistical method ... high-dimensional problems and fitting nonlinear multivariate functions. A special advantage of MARS lies ... ability to estimate contributions of some basis functions so that both additive and interactive effects ... objectives: a good fit to the data, but a simple model. par In this article...
  • ALGLIB

  • Referenced in 15 articles [sw04806]
  • ALGLIB features include: Data analysis (classification/regression, including neural networks); Optimization and nonlinear solvers; Interpolation ... other algorithms (numerical integration, ODEs, statistics, special functions...
  • HLM

  • Referenced in 44 articles [sw06516]
  • data requires specialized software. Hierarchical linear and nonlinear models (also called multilevel models) have been ... relationships at any level in a single analysis, while not ignoring the variability associated with ... structures in data from this field, it is suitable for use with data from ... have a hierarchical structure. This includes longitudinal analysis, in which an individual’s repeated measurements...
  • Poblano

  • Referenced in 12 articles [sw04186]
  • toolbox of large-scale algorithms for unconstrained nonlinear optimization problems. The algorithms in Poblano require ... information (e.g., gradients for scalar-valued objective functions), and therefore can scale to very large ... tensor decompositions in data analysis applications (bibliometric analysis, social network analysis, chemometrics, etc.). Poblano optimizers ... objective functions taking vector inputs. The gradient (i.e., first derivative) of the objective function...
  • PACE

  • Referenced in 2 articles [sw28690]
  • algorithm. PACE is useful for the analysis of data that have been generated ... linear and nonlinear functional regression and correlation, for Longitudinal Data Analysis, the analysis of stochastic...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • powerful methodology for solving problems in nonlinear classification, function estimation and density estimation which ... recognition algorithms such as kernel Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks ... Recent developments are in kernel spectral clustering, data visualization and dimensionality reduction, and survival analysis...
  • MuTE

  • Referenced in 7 articles [sw19722]
  • important knowledge on structure and function from the analysis of the recorded dynamics. The components ... physiological networks often interact in a nonlinear way and through mechanisms which are in general ... assumption on the nature of the data and their interactions. Transfer entropy has emerged...
  • TIMP

  • Referenced in 9 articles [sw07964]
  • spectroscopy data analysis often have some parameters that are intrinstically nonlinear, and some parameters that ... estimates of the nonlinear parameters. TIMP fits such separable nonlinear models using partitioned variable projection ... implemented in nonlinear optimization routines (e.g., the plinear option of the R function...
  • nonlinearTseries

  • Referenced in 4 articles [sw29817]
  • Nonlinear Time Series Analysis. Functions for nonlinear time series analysis. This package permits the computation ... most-used nonlinear statistics/algorithms including generalized correlation dimension, information dimension, largest Lyapunov exponent, sample entropy ... Recurrence Quantification Analysis (RQA), among others. Basic routines for surrogate data testing are also included...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • analysis introduced in Morris and Carroll (2006). The method extends linear mixed models to functional ... data consisting of n curves sampled on the same grid. The user provides ... file in Matlab data file format (*.mat) containing a matrix of data samples ... effects functions that have been adaptively regularized as a result of the nonlinear shrinkage prior...
  • *NL*

  • Referenced in 1 article [sw19078]
  • modelling explains the *NL* basic ideas on nonlinear modelling, algorithms, and their correctness. Selected examples ... considered are: evaluating functions, solving differential equations, fitting data, Fourier-analysis, used-defined libraries, statistical ... reference datasets. The manual for nonlinear programming describes the main characteristics of the *NL* program...
  • EMP

  • Referenced in 8 articles [sw01086]
  • list a problem, for example. Nonlinear problem functions must be defined by sequences of FORTRAN ... automatically. All problem data and numerical results are stored in a data base ... easily retrieved for further processing. For each nonlinear problem, at least two different mathematical algorithms ... perform a rule-based error analysis in case of nonsuccessful termination...
  • Meta.Numerics

  • Referenced in 0 articles [sw05878]
  • complex error function), statistics and data analysis (including PCA, logistic and nonlinear regression, statistical tests...
  • TSPACK

  • Referenced in 2 articles [sw09863]
  • transfer function analysis; par 4) data handling procedures (input/output, plotting, data generation and transformation ... core data storage); 5) some numerical analysis procedures (random numbers generation, cubic spline interpolation, matrix ... inversion or factorization, linear and nonlinear least squares estimation, polynomial fit); 6) general purpose routines ... listing with an overview of the function’s tasks, method and algorithm used and references...
  • PHquintic

  • Referenced in 4 articles [sw14455]
  • library of basic functions for the construction and analysis of planar quintic Pythagorean-hodograph ... constructed as interpolants to first-order Hermite data (end points and derivatives), and this construction ... sequence of points in the plane. The nonlinear nature of PH curves incurs a multiplicity...
  • FedeasLab

  • Referenced in 2 articles [sw07603]
  • Evaluation and Analysis of Structures. FEDEASLab is a Matlab toolbox for nonlinear structural simulations under ... functions and scripting capabilities. Because of Matlab’s support for many data acquisition boards...