• AWS

  • Referenced in 44 articles [sw04034]
  • Polzehl and V. Spokoiny (2006), Propagation-Separation Approach for Local Likelihood Estimation, Prob. Theory ... Spokoiny (2004) Spatially adaptive regression estimation: Propagation-separation approach, WIAS-Preprint...
  • CRIO

  • Referenced in 20 articles [sw04840]
  • Classification and Regression via Integer Optimization. CRIO separates data points in different polyhedral regions ... region is assigned a class, while in regression each region has its own distinct regression...
  • fpc

  • Referenced in 24 articles [sw07105]
  • cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric ... asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance...
  • tgp

  • Referenced in 35 articles [sw07921]
  • Gaussian process models. Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes ... linear models, CART, treed linear models, stationary separable and isotropic GPs, and GP single-index...
  • Latent GOLD

  • Referenced in 93 articles [sw11673]
  • analysis, structural equation models, and random-effects regression models that are based on continuous latent ... others. FM models seek to separate out or ’un-mix’ data that is assumed...
  • cudaBayesreg

  • Referenced in 6 articles [sw24712]
  • fMRI data often relies on fitting linear regression models at each voxel of the brain ... programming model uses a separate thread for fitting a linear regression model at each voxel ... package’s examples are available in the separate package cudaBayesregData...
  • DevTreatRules

  • Referenced in 1 article [sw29262]
  • approach of split-regression, which fits regressions separately in both treatment groups and assigns...
  • GuideR

  • Referenced in 3 articles [sw30224]
  • GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings. This...
  • Formula

  • Referenced in 17 articles [sw23410]
  • dispersion), regressors and instruments in instrumental variable regressions, two-part models such as hurdle models ... formula”) that accepts an additional formula operator | separating multiple parts and by allowing all formula...
  • MOLGEN-QSPR

  • Referenced in 3 articles [sw00587]
  • descriptor computation, regression analysis. Property values can be input from tabulator separated ASCII tables...
  • crch

  • Referenced in 2 articles [sw17210]
  • crch. Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous ... and/or left censored or truncated) response with separate linear predictors for the mean and variance ... employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts...
  • abcrf

  • Referenced in 10 articles [sw21308]
  • existing implementations, the tolerance level that separates acceptance from rejection of simulated parameter values needs ... Breiman (2001) applied in a (non parametric) regression setting. We advocate the derivation...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • Windows system. DTREG reads Comma Separated Value (CSV) data files that are easily created from ... Means clustering, Linear Discriminant Function, Linear Regression or Logistic Regression model. Even complex analyses...
  • gplots

  • Referenced in 6 articles [sw04555]
  • dimensional data summaries (’ci2d’, ’hist2d’), - enhanced regression diagnostic plots (’lmplot2’, ’residplot’), - formula-enabled interface ... multiple data sets on same region, with separate axes (’overplot’), - plotting means and confidence intervals...
  • FarmSelect

  • Referenced in 1 article [sw32319]
  • sparse regression when the covariate dependence can be reduced through factor models. By separating...
  • SCPRED

  • Referenced in 6 articles [sw26876]
  • based on support vector machine, logistic regression, and ensemble of classifiers predictors. Conclusion: The SCPRED ... features, which are capable of separating the structural classes in spite of their low dimensionality...
  • Glyph

  • Referenced in 1 article [sw29456]
  • Python package for genetic programming based symbolic regression. Glyph is designed for usage in numerical ... experiments. For experimentalists, glyph-remote provides a separation of tasks: a ZeroMQ interface splits ... Domain experts are able to employ symbolic regression in their experiments with ease, even...
  • librascal

  • Referenced in 1 article [sw33786]
  • supervised or unsupervised learning algorithm. Simple regression code will be included for testing purposes ... long-term goal is to develop a separate collection of tools to this end. librascal...
  • Polyunphased

  • Referenced in 1 article [sw19781]
  • association parameters of the conditional logistic regression model when the corresponding association parameters ... problems when estimating these parental association parameters separately. The former approach is thus recommended with...
  • OLP

  • Referenced in 1 article [sw27618]
  • well the data comply with the linear separability condition. We illustrate the method on possible ... linear discriminant analysis and multiple logistic regression, adapted to dividing linearly a set of points...