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2020-05-12Update vignettes and docsJohannes Ranke5-186/+225
2020-05-11Avoid merge() and data.frame() in cost functionJohannes Ranke1-11/+11
also for deSolve and eigenvalue based solutions. This noticeably increases performance for these methods, see test.log and benchmark vignette.
2020-05-10Default to analytical for coupled models if availableJohannes Ranke2-137/+120
This revealed that transforming rates is necessary for fitting the analytical solution of the SFO-SFO model to the FOCUS D dataset. Benchmarks show that fitting coupled models with deSolve got a bit slower through the latest changes
2020-04-04Add three functions to facilitate the use of nlmeJohannes Ranke2-176/+0
2020-04-03Compiled models article, reduce distractionsJohannes Ranke5-208/+542
- Added a section with platform specific notes on getting compiled models to work to the compiled models article - Don't return empty SFORB parameter list from endpoints() if there is no SFORB model - Avoid warnings when using standardized = TRUE in plot.mmkin()
2019-05-02Prepare for CRAN releaseJohannes Ranke3-29/+35
- Skip long running tests on CRAN as well to avoid timeout on winbuilder - Don't install benchmark results in the package, they are only needed in the git repository - Don't run example in man/add_err.Rd as it takes > 10 s on winbuilder - Rebuild docs
2019-04-10Adapt tests, vignettes and examplesJohannes Ranke3-0/+4312
- Write the NEWS - Static documentation rebuilt by pkgdown - Adapt mkinerrmin - Fix (hopefully all) remaining problems in mkinfit
2019-04-04Direct error model fitting worksJohannes Ranke2-14/+80
- No IRLS required - Removed optimization algorithms other than Port - Removed the dependency on FME - Fitting the error model 'obs' is much faster for the FOCUS_2006_D dataset and the FOMC_SFO model (1 second versus 3.4 seconds) - Vignettes build slower. Compiled models needs 3 minutes instead of 1.5 - For other vignettes, the trend is less clear. Some fits are faster, even for error_model = "const". FOCUS_Z is faster (34.9 s versus 44.1 s) - Standard errors and confidence intervals are slightly smaller - Removed code for plotting during the fit, as I hardly ever used it - Merged the two cost functions (using transformed and untransformed parameters) into one log-likelihood function
2019-02-26NAFTA SOP Attachment vignetteJohannes Ranke1-0/+243
Also: - Change rounding in print.nafta - Add dots argument to nafta() - Use cores=1 in examples - Restrict N in IORE model to values > 0
2018-09-14Remove two vignettes from the package but not from docsJohannes Ranke4-0/+3808
- Rebuild static documentation - Adapt test to new approach to two component error model where the model is inadequate

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