
SCRSELECT
 Referenced in 1 article
[sw20292]
 package SCRSELECT. Performs Bayesian Variable Selection on the Covariates in a SemiCompeting 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 MetropolisHastingsGreen 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 treestructured 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 spatiotemporal 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 userselected 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...