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compositional.mle  

Compositional Maximum Likelihood Estimation
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/compositional.mle")

Install by package version:
library("remotes")
install_version("compositional.mle", "1.0.2")



Attach the package and use:
library("compositional.mle")
Maintained by
Alexander Towell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-09
Latest Update: 2026-02-09
Description:
Provides composable optimization strategies for maximum likelihood estimation (MLE). Solvers are first-class functions that combine via sequential chaining, parallel racing, and random restarts. Implements gradient ascent, Newton-Raphson, quasi-Newton (BFGS), and derivative-free methods with support for constrained optimization and tracing. Returns 'mle' objects compatible with 'algebraic.mle' for downstream analysis. Methods based on Nocedal J, Wright SJ (2006) "Numerical Optimization" <doi:10.1007/978-0-387-40065-5>.
How to cite:
Alexander Towell (2026). compositional.mle: Compositional Maximum Likelihood Estimation. R package version 1.0.2, https://cran.r-project.org/web/packages/compositional.mle. Accessed 15 Mar. 2026.
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