• SCRSELECT

  • Referenced in 1 article [sw20292]
  • package SCRSELECT. Performs Bayesian Variable Selection on the Covariates in a Semi-Competing Risks Model ... uses Stochastic Search Variable Selection to select important covariates in the three hazard functions ... functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler...
  • GlobalAncova

  • Referenced in 7 articles [sw30019]
  • group and gene. Covariate adjustment can help to correct for possible selection bias. Variance homogeneity...
  • compound.Cox

  • Referenced in 4 articles [sw17899]
  • compound.Cox. Estimation and Gene Selection Based on the Compound Covariate Method Under the Cox Proportional...
  • party

  • Referenced in 27 articles [sw07330]
  • variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides ... regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression...
  • STEPCEE

  • Referenced in 1 article [sw25018]
  • data, but none deals with the selection of covariates when there exist a large number ... potentially relevant covariates. We present a SAS macro based on a stepwise selection procedure...
  • SpatialVS

  • Referenced in 1 article [sw31495]
  • package SpatialVS: Spatial Variable Selection. Perform variable selection for the spatial Poisson regression model under ... elastic net penalty. Spatial count data with covariates is the input. We use a spatial ... model to link the spatial counts and covariates. For maximization of the likelihood under adaptive ... methods. The proposed methods can automatically select important covariates, while adjusting for possible spatial correlations...
  • WOMBAT

  • Referenced in 1 article [sw07817]
  • fitting a linear, mixed model; estimates of covariance components and the resulting genetic parameters ... traits, multiple fixed and random effects, selected genetic covariance structures, random regression models and reduced...
  • r2glmm

  • Referenced in 1 article [sw17904]
  • variance (SGV) can be used for covariance model selection. Package installation instructions can be found...
  • Popan

  • Referenced in 3 articles [sw17040]
  • arbitrary temporal, group and covariate constraints and you can select the best model using...
  • qic

  • Referenced in 4 articles [sw37345]
  • select the best working correlation structure and the best subset of covariates through two examples...
  • FarmSelect

  • Referenced in 1 article [sw32319]
  • consistent model selection strategy for high dimensional sparse regression when the covariate dependence ... problem is transformed from model selection with highly correlated covariates to that with weakly correlated...
  • ROCKET

  • Referenced in 12 articles [sw30016]
  • estimating parameters in the latent inverse covariance matrix. We establish asymptotic normality of ROCKET ... mild assumptions, without relying on oracle model selection results. ROCKET requires the same number...
  • momentuHMM

  • Referenced in 9 articles [sw21676]
  • data; 6) seamless integration of spatio-temporal covariate raster data; 7) cosinor and spline models ... other complicated patterns; 8) model checking and selection; and 9) simulation. momentuHMM considerably extends...
  • BayesSUR

  • Referenced in 1 article [sw38322]
  • unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression...
  • MESgenCov

  • Referenced in 2 articles [sw32354]
  • multivariate precipitation chemistry data and extracting a covariance matrix for use in the MESP (maximum ... each site and chemical selected, and the package produces a covariance matrix...
  • RATest

  • Referenced in 1 article [sw40364]
  • testing the continuity assumption of the baseline covariates in the sharp regression discontinuity design ... allows the user to select a set of covariates and test the aforementioned hypothesis using...
  • IMIFA

  • Referenced in 2 articles [sw20290]
  • clustering with factor analytic covariance structures without recourse to model selection criteria to choose...
  • marginscontplot

  • Referenced in 1 article [sw37413]
  • plotting the marginal effect of continuous covariates in regression models. The plots may be univariate ... levels or user-selected values of a second covariate. Nonlinear relationships involving transformed covariates...
  • MRCE

  • Referenced in 1 article [sw18485]
  • package MRCE. Multivariate Regression with Covariance Estimation. Compute and select tuning parameters for the MRCE...
  • tidystm

  • Referenced in 1 article [sw30851]
  • effect of a covariate on a set of topics selected by the user. Different effect...