
SCALP
 Referenced in 1 article
[sw27579]
 with contour adherence using linear path. Superpixel decomposition methods are generally used ... speed up image processing tasks. They group the pixels of an image into homogeneous regions ... compute Superpixels with Contour Adherence using Linear Path (SCALP) in an iterative clustering framework...

LBMpy
 Referenced in 3 articles
[sw12975]
 investigate the numerous possible parameter choices for linear lattice Boltzmann schemes according to the definition ... press) [4]. This propertywritten in a general framework that includes ... schemescan be understood through a group operation. The resulting relationships between the parameters...

HBglm
 Referenced in 0 articles
[sw15404]
 multigroup data. The lowest level may belong to the generalized linear model (GLM) family...

aster2
 Referenced in 2 articles
[sw32136]
 analysis, zeroinflated Poisson regression, and generalized linear models that are exponential family ... aster package, this package does dependence groups (nodes of the graph need not be conditionally ... normal as families. Thus this package also generalizes markcapturerecapture analysis...

palmtree
 Referenced in 1 article
[sw31424]
 package palmtree: Partially Additive (Generalized) Linear Model Trees. This is an implementation of modelbased ... where some parameters are fixed across all groups. Details about the method can be found...

Popan
 Referenced in 3 articles
[sw17040]
 includes the ability to fit customised loglinear and constrained maximum loglikelihood (MLL) models ... program Mark you can impose arbitrary temporal, group and covariate constraints and you can select ... recruitment rates and is the only general customised analysis system with these capabilities...

TorDiv
 Referenced in 3 articles
[sw14424]
 Maple Package, distributed under the GNU General Public License. It comprises functions on toric varieties ... strongly related subject, geometric invariant theory of linear torus actions. The aim is to provide ... bunch of cones in the divisor class group. Torus actions are entered as lists...

BFpack
 Referenced in 1 article
[sw34120]
 multivariate normal linear models, generalized linear models, special cases of linear mixed models, survival models ... location parameters (e.g., regression coefficients), variances (e.g., group variances), and measures of association (e.g,. bivariate...

SPCPM
 Referenced in 3 articles
[sw37679]
 being developed in our research group under the supervision of Prof. A. Meyer ... Lamé system of linear elasticity with in general mixed boundary conditions of Dirichlet and Neumann...

naivereg
 Referenced in 1 article
[sw36604]
 commonly available nowadays. This package uses adaptive group lasso and Bspline methods to select ... components of the IV function, with the linear function being a special case (naivereg ... least squares estimator (2SLS), generalized method of moment (GMM), generalized empirical likelihood (GEL) methods post ... Zhong, ”Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective” (2018), Journal of Business...

rsq
 Referenced in 0 articles
[sw15786]
 Zhang (2016) for generalized linear models (including quasi models with well defined variance functions ... proportion explained by the model or a group of covariates...

stepp
 Referenced in 1 article
[sw31427]
 treatmentcovariate interactions in survival or generalized linear model (GLM) for continuous, binomial and count ... permuting the covariate values within each treatment group. Bonetti M, Gelber...

ConvexLAR
 Referenced in 2 articles
[sw16543]
 year 2004 for continuous model selection in linear regression. It is motivated by a geometric ... powerful geometric idea of LAR can be generalized in a fruitful way. We propose ... convex loss function and naturally extends to group selection and data adaptive variable selection. After...

SpaRSA
 Referenced in 3 articles
[sw20467]
 Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem ... present an algorithmic framework for the more general problem of minimizing ... regularizers, such as an 1norm and groupseparable regularizers. It also generalizes immediately...

ForestFit
 Referenced in 1 article
[sw31035]
 parameter BirnbaumSaunders, generalized exponential, and Weibull distributions fitted to grouped data using three methods ... grouped data through the EM algorithm, VI) Estimating parameters of the nonlinear growth curve...

coroICA
 Referenced in 1 article
[sw34908]
 analysis, a novel ICA algorithm which decomposes linearly mixed multivariate observations into independent components that ... corrupted (and rendered dependent) by hidden groupwise stationary confounding. It extends the ordinary ... incorporate groupwise (or environmentwise) confounding. We show that our proposed general noise model...

xtserialpm
 Referenced in 0 articles
[sw37541]
 linear panel model after estimation of the regression coefficients by the withingroup estimator ... short panels and can deal with general missingdata patterns. The test is different from...

Bambi
 Referenced in 1 article
[sw36562]
 makes it easy to specify complex generalized linear hierarchical models using a formula notation similar ... regression, and mixedeffects modeling with crossed group specific effects. Additionally we discuss how automatic...

SKEEw2013
 Referenced in 1 article
[sw10163]
 Linear compartmental systems. IV. A software, under MSwindows, for obtaining the instantaneous species concentrations ... that fits the general reaction scheme proposed previously by our group. It can be downloaded...

DL_ANALYSER
 Referenced in 1 article
[sw37768]
 implemented within DL_ANALYSER, a general analysis software program for DL_POLY molecular dynamics simulation ... expression. It was found that the carboxylic groups preferentially orientated in a “headtotail ... hydroxyl hydrogen, resulting in a series of linear structures that intertwined with pockets of methyl...