Random Forest with Multivariate Longitudinal Predictors
person("Anthony", "Devaux", email = "anthony.devaux@u-bordeaux.fr",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-8862-4218"))
Based on random forest principle, 'DynForest' is able to include
multiple longitudinal predictors to provide individual predictions.
Longitudinal predictors are modeled through the random forest. The
methodology is fully described for a survival outcome in:
Devaux, Helmer, Dufouil, Genuer & Proust-Lima (2022)
<doi: 10.48550/arXiv.2208.05801>.
DescTools, cmprsk, doParallel, foreach, ggplot2, lcmm,
methods, pbapply, pec, prodlim, stringr, survival, zoo
Anthony Devaux [aut, cre] (<https://orcid.org/0000-0002-8862-4218>)

A Dynamic Nomogram for Linear and Generalized Linear Models as
Shiny Applications
Amirhossein Jalali, Alberto Alvarez-Iglesias, John Newell
The DynNom function makes it possible to present the results of an
lm or glm model object as a dynamic nomogram that can be displayed in an R
Studio panel or web browser.

Dynamic Nomograms for Linear, Generalized Linear and
Proportional Hazard Models
Amirhossein Jalali, Alberto Alvarez-Iglesias, Davood Roshan Sangachin, John Newell
Demonstrate the results of an lm(), glm() or coxph() model object as a dynamic nomogram that can be displayed in an 'RStudio' panel or web browser.
ggplot2, stargazer, shiny, compare, survival (>= 2.38-3)

Amirhossein Jalali, Davood Roshan, Alberto Alvarez-Iglesias, John Newell
Demonstrate the results of a statistical model object as a dynamic nomogram in an 'RStudio' panel or web browser. DynNom supports a variety of model objects; 'lm', 'glm', 'coxph' and also 'Ols', 'Glm', 'lrm', 'cph' models.

Demonstrate the results of a statistical model object as a dynamic nomogram in an 'RStudio' panel or web browser. Also, the generic DNbuilder function in this package provides a simple and straightforward way to build and publish a dynamic nomogram on the web to use the app independent of R. DynNom supports a variety of model objects; 'lm', 'glm', 'coxph' and also 'Ols', 'Glm', 'lrm', 'cph' models.