• gamair

  • Referenced in 242 articles [sw11132]
  • scripts used in the book ”Generalized Additive Models: An Introduction with R”, Wood ... introduction to linear, generalized linear, generalized additive and mixed models. Moreover, the book contains explanations...
  • DPpackage

  • Referenced in 59 articles [sw10495]
  • using generalized linear mixed models, and regression data using generalized additive models. The package also...
  • spikeSlabGAM

  • Referenced in 8 articles [sw07415]
  • additive mixed models. Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive...
  • gamm4

  • Referenced in 5 articles [sw13220]
  • package gamm4: Generalized additive mixed models using mgcv and lme4. Fit generalized additive mixed models...
  • HIBITS

  • Referenced in 3 articles [sw30626]
  • predicting sleep states, we develop a mixed effects model for binary time series with ... past realizations. We develop a frequentist modeling framework that provides efficient inference and more accurate ... approaches such as logistic regression, generalized additive mixed model, models for ordinal data, gradient boosting...
  • gammSlice

  • Referenced in 1 article [sw26760]
  • package gammSlice: Generalized Additive Mixed Model Analysis via Slice Sampling. Uses a slice sampling-based ... Bayesian fitting and inference for generalized additive mixed models. Generalized linear mixed models and generalized ... handled as special cases of generalized additive mixed models. The methodology and software is described...
  • amer

  • Referenced in 1 article [sw32653]
  • mixed models with lme4. Fitting generalized additive mixed models based on the mixed model algorithm...
  • SimpleMKL

  • Referenced in 57 articles [sw12290]
  • support vector machine, an efficient and general multiple kernel learning algorithm, based on semi-infinite ... weighted 2-norm regularization formulation with an additional constraint on the weights that encourages sparse ... insight on MKL algorithms based on mixed-norm regularization by showing that the two approaches ... based on wavelet kernels and on some model selection problems related to multiclass classification problems...
  • itsadug

  • Referenced in 0 articles [sw15455]
  • Autocorrelated Data Using GAMMs. GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented...
  • DISNEL

  • Referenced in 5 articles [sw00207]
  • nonlinear programming).\parIn addition to solving the standard ILP and mixed ILP, the package also ... solves one-parameter linear discrete models and different types of location and extremal combinatorial problems ... these problems, special-purpose (rather than general) methods have been developed. The package also includes...
  • influence.ME

  • Referenced in 2 articles [sw16401]
  • detecting influential cases in generalized mixed effects models. It analyses models that were estimated using ... single units are omitted from the data, models based on these data should not produce ... DFBETAS and Cook’s Distance. In addition, we provide a measure of percentage change...
  • EXOFAST

  • Referenced in 3 articles [sw27087]
  • that is well-mixed in under five minutes on a standard desktop computer. We describe ... extended to include additional effects or generalized for the characterization of other data sets -- including ... execution time of the transit model calculation. Our entire source code, along with an easy...
  • sjstats

  • Referenced in 1 article [sw16146]
  • which otherwise could only be calculated with additional effort (like standard errors or root mean ... computed for vectors, linear models, or linear mixed models; the r2()-function returns ... statistics or fit measures for regression models, including generalized linear models and mixed effects models...
  • ipdpower

  • Referenced in 1 article [sw23680]
  • addition, power calculations are model-specific and multi-level mixed effects models are defined ... plethora of parameters. In other words, model variations in this context are numerous ... simulations-based command that calculates power for mixed effects two-level data structures. Although ... where patients are nested within studies and general practices respectively, the methods apply...
  • abn

  • Referenced in 1 article [sw31036]
  • node comprises a generalized linear 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 ... optimal Bayesian network models for a given data set, where these models are used ... additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models...
  • r2glmm

  • Referenced in 0 articles [sw17904]
  • linear and generalized linear mixed model (LMM and GLMM) are computed with confidence limits ... squared for the LMM and does not generalize the statistic to the GLMM; however, confidence ... squared for fixed effects are useful additions. Lastly, an approach using standardized generalized variance...
  • ARMS

  • Referenced in 63 articles [sw00048]
  • ARMS: an algebraic recursive multilevel solver for general...
  • BoomerAMG

  • Referenced in 143 articles [sw00086]
  • BoomerAMG: A parallel algebraic multigrid solver and preconditioner...
  • cdd

  • Referenced in 107 articles [sw00114]
  • The program cdd+ (cdd, respectively) is a C...
  • Diffpack

  • Referenced in 111 articles [sw00203]
  • As modern programming methodologies migrate from computer science...