The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao 2009) for linear and generalized linear models. We provide a number of innovations on the standard procedures and address many practical implementation issues including the addition of redundant variables, interactive visualizations and the approximation of logistic models with linear models. An option is provided that combines our bootstrap approach with glmnet for higher dimensional models. The plots and graphical user interface leverage state of the art web technologies to facilitate interac...
LP models are usually constructed using index sets and data tables which are closely related to the ...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
Background\ud Mixed graphical models (MGMs) are graphical models learned over a combination of conti...
The mplot package provides an easy to use implementation of model stability and variable inclusion p...
The graphical modeling was performed using the R packages “corpcor” [26] and “qgraph” [27].</p
We introduce glmulti, an R package for automated model selection and multi-model inference with glm ...
Abstract: We have developed a tool for model space exploration and variable selection in linear regr...
Graphical models in their modern form have been around for nearly a quarter of a century. Various c...
Generalized linear models unite a wide variety of statistical models in a common theoretical framewo...
A graphical model is a class of statistical models that can be represented by a graph which can be u...
The mimR package (version 1.1.1) for graphical modelling in R is introduced. We present some facilit...
This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with...
Semiparametric regression models that use spline basis functions with penalization have graphical mo...
A model is usually only an approximation of underlying reality. To access this reality in an adequat...
This textbook presents an introduction to multiple linear regression, providing real-world data sets...
LP models are usually constructed using index sets and data tables which are closely related to the ...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
Background\ud Mixed graphical models (MGMs) are graphical models learned over a combination of conti...
The mplot package provides an easy to use implementation of model stability and variable inclusion p...
The graphical modeling was performed using the R packages “corpcor” [26] and “qgraph” [27].</p
We introduce glmulti, an R package for automated model selection and multi-model inference with glm ...
Abstract: We have developed a tool for model space exploration and variable selection in linear regr...
Graphical models in their modern form have been around for nearly a quarter of a century. Various c...
Generalized linear models unite a wide variety of statistical models in a common theoretical framewo...
A graphical model is a class of statistical models that can be represented by a graph which can be u...
The mimR package (version 1.1.1) for graphical modelling in R is introduced. We present some facilit...
This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with...
Semiparametric regression models that use spline basis functions with penalization have graphical mo...
A model is usually only an approximation of underlying reality. To access this reality in an adequat...
This textbook presents an introduction to multiple linear regression, providing real-world data sets...
LP models are usually constructed using index sets and data tables which are closely related to the ...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
Background\ud Mixed graphical models (MGMs) are graphical models learned over a combination of conti...