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BaPreStoPro  

Bayesian Prediction of Stochastic Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BaPreStoPro", "0.1")



Attach the package and use:
library("BaPreStoPro")
Maintained by
Simone Hermann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-07
Latest Update: 2022-11-11
Description:
Bayesian estimation and prediction for stochastic processes basedon the Euler approximation. Considered processes are jump diffusionmixed diffusion models hidden mixed diffusion models non-homogeneousPoisson processes NHPP mixed regression models for comparison and aregression model including a NHPP.
How to cite:
Simone Hermann (2016). BaPreStoPro: Bayesian Prediction of Stochastic Processes. R package version 0.1, https://cran.r-project.org/web/packages/BaPreStoPro. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1 (2016-06-07 14:28)
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Functions, R codes and Examples using the BaPreStoPro R package
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