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ktweedie  

'Tweedie' Compound Poisson Model in the Reproducing Kernel Hilbert Space
View on CRAN: Click here


Download and install ktweedie package within the R console
Install from CRAN:
install.packages("ktweedie")

Install from Github:
library("remotes")
install_github("cran/ktweedie")

Install by package version:
library("remotes")
install_version("ktweedie", "1.0.3")



Attach the package and use:
library("ktweedie")
Maintained by
Yi Lian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-20
Latest Update: 2023-03-22
Description:
Kernel-based 'Tweedie' compound Poisson gamma model using high-dimensional predictors for the analyses of zero-inflated response variables. The package features built-in estimation, prediction and cross-validation tools and supports choice of different kernel functions. For more details, please see Yi Lian, Archer Yi Yang, Boxiang Wang, Peng Shi & Robert William Platt (2023) .
How to cite:
Yi Lian (2022). ktweedie: 'Tweedie' Compound Poisson Model in the Reproducing Kernel Hilbert Space. R package version 1.0.3, https://cran.r-project.org/web/packages/ktweedie
Previous versions and publish date:
1.0.0 (2022-10-20 09:12), 1.0.1 (2022-11-02 11:27), 1.0.2 (2023-03-23 00:00)
Other packages that cited ktweedie R package
View ktweedie citation profile
Other R packages that ktweedie depends, imports, suggests or enhances
Functions, R codes and Examples using the ktweedie R package
Some associated functions: as.kernelMatrix . dat . dots . kernel-class . kernelMatrix . ktd_cv . ktd_cv2d . ktd_estimate . ktd_predict . ktweedie-package . 
Some associated R codes: aobjects.R . datadoc.R . kernelmatrix.R . kernels.R . ktd_cv.R . ktd_cv2d.R . ktd_estimate.R . ktd_predict.R . ktweedie-package.R . utilities.R .  Full ktweedie package functions and examples
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