• tmle

  • Referenced in 8 articles [sw18463]
  • estimating the parameters of a marginal structural model for a binary point treatment effect...
  • Robust Control Toolbox

  • Referenced in 144 articles [sw07907]
  • MIMO controllers. These can include decentralized, fixed-structure controllers with multiple tunable blocks spanning multiple ... controller against a set of plant models. You can also tune gain-scheduled controllers ... such as reference tracking, disturbance rejection, stability margins, and closed-loop pole locations...
  • ltmle

  • Referenced in 5 articles [sw25121]
  • treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data...
  • CBPS

  • Referenced in 5 articles [sw17528]
  • method, therefore, avoids an iteration between model fitting and balance checking. The package also implements ... used in conjunction with marginal structural models from Imai and Ratkovic (2015) <
  • ipw

  • Referenced in 5 articles [sw24292]
  • causal effects from observational data via marginal structural models. Both point treatment situations and longitudinal...
  • cvDSA

  • Referenced in 4 articles [sw06346]
  • with point treatment data based on Marginal Structural Models (MSM). The routines are entirely written...
  • simcausal

  • Referenced in 4 articles [sw25111]
  • treatment effects and coefficients from working marginal structural models. User interface designed to facilitate...
  • bfa

  • Referenced in 20 articles [sw07430]
  • Gaussian variables or through generalized latent trait models accommodating measurements in the exponential family. However ... influence both the dependence structure and the form of the marginal distributions, complicating interpretation ... novel class of Bayesian Gaussian copula factor models that decouple the latent factors from...
  • fgac

  • Referenced in 2 articles [sw22143]
  • components: the marginal distributions and the dependency structure. The dependency structure is modeled through...
  • HGLMMM

  • Referenced in 6 articles [sw08092]
  • residual dispersion (overdispersion) can be modeled as a function of covariates. Overdispersion parameter ... estimated. Fixed effects in the mean structure can be estimated using extended likelihood ... first order Laplace approximation to the marginal likelihood. Dispersion parameters are estimated using first order...
  • mr

  • Referenced in 1 article [sw24137]
  • marginal regression models for non-normal responses with a flexible specification of the dependence structure...
  • TAM

  • Referenced in 3 articles [sw13950]
  • Includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch ... Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models...
  • dcminfo

  • Referenced in 1 article [sw27929]
  • marginal maximum likelihood estimation is used. For these methods, both the item and structural model...
  • CDGAM

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

  • Referenced in 2 articles [sw11011]
  • model, HPM; the median probability model, MPM) about the structure of the true -data generating...
  • CentroidAlign

  • Referenced in 2 articles [sw17119]
  • novel estimator for multiple alignments of structured RNAs, based on maximizing the expected accuracy ... distribution of alignments given by marginalizing the Sankoff model. Then, by approximating the MEA estimator ... proposed estimator can handle uncertainty of secondary structures and alignments that are obstacles in Bioinformatics...
  • tranSurv

  • Referenced in 1 article [sw15947]
  • package tranSurv. A structural transformation model for a latent, quasi-independent truncation time ... minimize the conditional Kendall’s tau. The marginal distribution for the truncation time...
  • multgee

  • Referenced in 1 article [sw21072]
  • ordinal responses and a marginal baseline category logit model for nominal. Further, utility functions ... available to ease the local odds ratios structure selection (intrinsic.pars) and to perform a Wald...
  • Graph_sampler

  • Referenced in 1 article [sw20652]
  • Bayesian networks (BNs) are widely used graphical models usable to draw statistical inference about Directed ... marginal likelihood of the data and prior information about the network structure are considered. This ... based on the data type two different models are formulated. The software also provides...
  • UWGeodynamics

  • Referenced in 1 article [sw28930]
  • thermo-mechanical geodynamic models (Subduction, Rift, Passive Margins, Orogenic systems etc.). It is designed ... Moresi et al. (2007)) with a structured workflow...