• BayesX

  • Referenced in 73 articles [sw06772]
  • BayesX, a free software for estimating structured additive regression models (). In addition, functions...
  • R2BayesX

  • Referenced in 3 articles [sw20278]
  • package R2BayesX: Estimate Structured Additive Regression Models with ’BayesX’. An R interface to estimate structured...
  • BayesXsrc

  • Referenced in 3 articles [sw08273]
  • Sources. BayesX performs Bayesian inference in structured additive regression (STAR) models. The R package BayesXsrc...
  • brms

  • Referenced in 15 articles [sw19099]
  • package brms. brms: Bayesian Regression Models using Stan. Fit Bayesian generalized (non-)linear multilevel models ... structures, censored data, meta-analytic standard errors, and quite a few more. In addition ... predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users...
  • sdPrior

  • Referenced in 1 article [sw31420]
  • sdPrior: Scale-Dependent Hyperpriors in Structured Additive Distributional Regression. Utility functions for scale-dependent...
  • pylearn-simulate

  • Referenced in 1 article [sw26392]
  • context of linear regression problems with sparse and structured penalties. Additionally, this approach allows ... signal-to-noise ratio, the correlation structure of the data and the optimization problem ... exact theoretical solution of a penalized linear regression problem, and it is thus possible...
  • ibr

  • Referenced in 7 articles [sw11227]
  • than the underlying base smoother, or competing structurally constrained models (MARS, GAM) for small dimension ... fully nonparametric regression estimator is available without constrained assumption such as additivity for example...
  • CDGAM

  • Referenced in 1 article [sw26138]
  • PLUS to implement the clustered data generalized additive marginal modelling (CDGAM) strategy proposed by Berhane ... variety of working correlation structures are supported, and the regression basis may include components from...
  • CARTscans

  • Referenced in 1 article [sw20892]
  • these plots are useful for understanding the structure and relationships between variables in a wide ... regression trees, ensembles of trees, and linear regressions with varying degrees of interactions. In addition ... facilitates the choice of a particular model structure, and provides a useful check for implausible...
  • CAM

  • Referenced in 2 articles [sw23430]
  • Additive Model (CAM) for estimating the causal structure of the underlying process. The output ... Ernest: ”CAM: Causal Additive Models, high-dimensional order search and penalized regression”, Annals of Statistics...
  • POPS

  • Referenced in 1 article [sw24119]
  • structure using multilocus genotypic data. Based on a hierarchical Bayesian framework for latent regression models ... using geographic and environmental information. In addition, POPS defines ancestry distribution models allowing its users ... which POPS predicts changes in spatial population structure assuming a particular scenario of climate change...
  • abn

  • Referenced in 1 article [sw31036]
  • describing the dependency structure between random variables. An additive Bayesian network model consists ... model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling ... they generalises the usual multivariable regression, GLM, to multiple dependent variables. ’abn’ provides routines ... statistical dependencies in messy, complex data. The additive formulation of these models is equivalent...
  • PROC GAM

  • Referenced in 1 article [sw12075]
  • Procedure. The GAM procedure fits generalized additive models as those models are defined by Hastie ... analysis, based on nonparametric regression and smoothing techniques. Nonparametric regression relaxes the usual assumption ... linearity and enables you to uncover structure in the relationship between the independent variables ... procedures for nonparametric regression, such as the LOESS procedure for local regression and the TPSPLINE...
  • aster2

  • Referenced in 2 articles [sw32136]
  • graphical structure. Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that ... exponential family (e. g., logistic regression and Poisson regression with log link) are special cases ... over discrete time periods and there is additional data about what happens conditional on survival...
  • horserule

  • Referenced in 3 articles [sw27913]
  • rule structured horseshoe regularization. We propose a new Bayesian model for flexible nonlinear regression ... terms are used in a L1-regularized regression. We modify RuleFit by replacing ... contribute noise. Our horseshoe prior has an additional hierarchical layer that applies more shrinkage...
  • semibart

  • Referenced in 1 article [sw31324]
  • evaluate heterogeneous treatment effects. Bayesian Additive Regression Trees (BART) is a flexible machine learning algorithm ... covariates. We extend BART to a semiparametric regression framework in which the conditional expectation ... result is a Bayesian semiparametric linear regression model where the posterior distribution of the parameters ... interpreted as in parametric Bayesian regression. This is useful in situations where a subset...
  • pamfe

  • Referenced in 1 article [sw29774]
  • data as well as for panel data regressions with random effects. Penalized splines are particularly ... structure into account and adapt the construction of simultaneous confidence bands accordingly. In addition...
  • SPAGEDi

  • Referenced in 2 articles [sw07534]
  • linear regressions (the slopes of these regressions can be used to obtain indirect estimates ... genes provide ad hoc tests of spatial structure, population differentiation or inbreeding, respectively ... relevant information about genetic structure (Hardy & al. 2003 Genetics.pdf). In addition, the actual variance...
  • FFBSKAT

  • Referenced in 1 article [sw23136]
  • Kernel Association Test. The kernel machine-based regression is an efficient approach to region-based ... especially long for samples with genetic (sub) structures, thus increasing the need to develop ... times faster than other available programs. In addition, the calculations of the three-compared software ... perform whole-exome kernel machine-based regression association analysis of quantitative traits in samples...
  • itsadug

  • Referenced in 0 articles [sw15455]
  • Autocorrelated Data Using GAMMs. GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented ... Wood, S.N., 2006; 2011) is a nonlinear regression analysis which is particularly useful for time ... determining regions of significance, inspection of autocorrelational structure in residuals) and interpreting of GAMMs...