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Does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function.
| Version: | 0.1-8 |
| Depends: | R (≥ 2.10.0) |
| Imports: | stats |
| Published: | 2020-01-10 |
| Author: | Charles J. Geyer. |
| Maintainer: | Charles J. Geyer <charlie at stat.umn.edu> |
| License: | MIT + file LICENSE |
| URL: | http://www.stat.umn.edu/geyer/trust/ |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | Optimization |
| CRAN checks: | trust results |
| Reference manual: | trust.pdf |
| Vignettes: |
Trust Regions Design Document |
| Package source: | trust_0.1-8.tar.gz |
| Windows binaries: | r-devel: trust_0.1-8.zip, r-release: trust_0.1-8.zip, r-oldrel: trust_0.1-8.zip |
| macOS binaries: | r-release (arm64): trust_0.1-8.tgz, r-oldrel (arm64): trust_0.1-8.tgz, r-release (x86_64): trust_0.1-8.tgz, r-oldrel (x86_64): trust_0.1-8.tgz |
| Old sources: | trust archive |
| Reverse depends: | cepp, glmm, iWeigReg, mcemGLM, RCAL, relevent, UWHAM |
| Reverse imports: | aster, bgeva, corncob, DRDID, ebnm, ergm, flexmsm, frechet, GJRM, MRMCaov, nebula, penfa, remstimate, SDAMS, vntrs |
| Reverse suggests: | aghq, CollocInfer |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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