diffeqr | Solving differential equations in R | Machine Learning library

by SciML R Version: v1.1.1 License: Non-SPDX

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kandi X-RAY | diffeqr Summary

diffeqr is a R library typically used in Artificial Intelligence, Machine Learning applications. diffeqr has no bugs, it has no vulnerabilities and it has low support. However diffeqr has a Non-SPDX License. You can download it from GitHub.

diffeqr is a package for solving differential equations in R. It utilizes DifferentialEquations.jl for its core routines to give high performance solving of ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), and differential-algebraic equations (DAEs) directly in R. If you have any questions, or just want to chat about solvers/using the package, please feel free to chat in the Gitter channel. For bug reports, feature requests, etc., please submit an issue.

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Quality

Security

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Support

diffeqr has a low active ecosystem.

It has 118 star(s) with 12 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 21 have been closed. On average issues are closed in 85 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of diffeqr is v1.1.1

Quality

diffeqr has no bugs reported.

Security

diffeqr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

diffeqr has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

diffeqr releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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diffeqr Key Features

No Key Features are available at this moment for diffeqr.

diffeqr Examples and Code Snippets

No Code Snippets are available at this moment for diffeqr.

Community Discussions

Trending Discussions on diffeqr

Solving SDEs in R with Diffeqr package: possible to set seed?

QUESTION

Solving SDEs in R with Diffeqr package: possible to set seed?

Asked 2019-Sep-23 at 08:54

Is it possible to set a seed (like R's set.seed() function) in the diffeqr package in R, while solving stochastic differential equations?

Example

...

ANSWER

Answered 2019-Sep-22 at 13:47

library(diffeqr)
diffeqr::diffeq_setup()
f <- function(u,p,t) {
  return(1.01*u)
}
g <- function(u,p,t) {
  return(0.87*u)
}
u0 = 1/2
tspan <- list(0.0,1.0)
sol = sde.solve(f,g,u0,tspan, alg = "SKenCarp()", seed=1)
udf = as.data.frame(sol$u)
plotly::plot_ly(udf, x = sol$t, y = sol$u, type = 'scatter', mode = 'lines')

Source https://stackoverflow.com/questions/58010482

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install diffeqr

diffeqr is registered into CRAN. Thus to add the package, use:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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