
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, metaanalytic 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: ScaleDependent Hyperpriors in Structured Additive Distributional Regression. Utility functions for scaledependent...

pylearnsimulate
 Referenced in 1 article
[sw26392]
 context of linear regression problems with sparse and structured penalties. Additionally, this approach allows ... signaltonoise 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, highdimensional 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, zeroinflated 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 L1regularized 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 machinebased regression is an efficient approach to regionbased ... 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 threecompared software ... perform wholeexome kernel machinebased 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...