
AWS
 Referenced in 44 articles
[sw04034]
 Polzehl and V. Spokoiny (2006), PropagationSeparation Approach for Local Likelihood Estimation, Prob. Theory ... Spokoiny (2004) Spatially adaptive regression estimation: Propagationseparation approach, WIASPreprint...

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 singleindex...

Latent GOLD
 Referenced in 93 articles
[sw11673]
 analysis, structural equation models, and randomeffects regression models that are based on continuous latent ... others. FM models seek to separate out or ’unmix’ 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 splitregression, which fits regressions separately in both treatment groups and assigns...

GuideR
 Referenced in 3 articles
[sw30224]
 GuideR: a guided separateandconquer rule learning in classification, regression, and survival settings. This...

Formula
 Referenced in 17 articles
[sw23410]
 dispersion), regressors and instruments in instrumental variable regressions, twopart models such as hurdle models ... formula”) that accepts an additional formula operator  separating multiple parts and by allowing all formula...

MOLGENQSPR
 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’),  formulaenabled 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, glyphremote 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 ... longterm 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...