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NEWS
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CHANGES in `usl' VERSION 3.0.3 (2022-08-27)
* No functional changes; only unit tests were updated.
CHANGES in `usl' VERSION 3.0.0 (2020-02-29)
* Extend `scalability()` function to accept additional parameter `gamma`.
* Removed R-squared in `summary()` output as it is not valid for nonlinear
regression.
* Implemented method `sigma` to extract the residual standard deviation.
* Implemented methods `optimal.scalability()` and `limit.scalability()`
to determine scalability bounds.
* Print scalability bounds in `summary()` output and optionally include these
bounds in the `plot()` output.
CHANGES in `usl' VERSION 2.0.0 (2020-01-08)
* Version 2.0.0 is a major update that includes some breaking changes. The
Universal Scalability Law has evolved from the original two coefficient
formula into a three coefficient formula to obviate the need for parameter
normalization. The following changes are made to align the package with
the current use:
- The previously used coefficients `sigma` and `kappa` are renamed to
`alpha` and `beta`.
- A new coefficient `gamma` is introduced. This coefficient corresponds
to the scale factor calculated in earlier versions when parameter
normalization was used.
- The `default` method of the `usl()` function is no longer a separate
solver method as normalization has been removed. Calling the function
with either no or the `default` value for the `method` parameter will
internally use the `nlxb` implementation.
CHANGES in `usl' VERSION 1.8.0 (2017-08-07)
* The `nlsr` package will replace the older `nlmrt` package. The package has
been updated accordingly.
CHANGES in `usl' VERSION 1.7.0 (2016-10-13)
* The `summary()' command now shows the t-value and the two sided p-value for
the coefficients sigma and kappa.
CHANGES in `usl' VERSION 1.6.0 (2016-06-17)
* Remove unused parameter `R' from the signature of the `confint()' function.
* Add additional section about multivalued data to vignette.
CHANGES in `usl' VERSION 1.5.0 (2016-02-25)
* Use method `nlxb' as fallback if the value for the scale factor is missing
in the data and the `default' method is used. A warning message is printed
in this case. This is more user-friendly than the error message given
before.
* Remove unused parameter `R' from the signature of the `usl()' function.
CHANGES in `usl' VERSION 1.4.1 (2014-12-29)
* Depend on `methods' package instead of importing it. This fixes a problem
with calling `usl()' from Rscript.
* Minor fixes concerning coding style and typos.
CHANGES in `usl' VERSION 1.4.0 (2014-11-04)
* Add new method `overhead()' to calculate the overhead in execution time
caused by contention and coherency delays.
CHANGES in `usl' VERSION 1.3.1 (2014-06-20)
* Fix vignette for TeXLive 2014.
CHANGES in `usl' VERSION 1.3.0 (2014-06-02)
* The estimation of standard errors for the coefficients has been rewritten.
Bootstrapping is no longer used for the calculation. Therefore the argument
`R' for the `usl()' function and the argument `type' for the `confint()'
function have been deprecated. The arguments will be removed in the next
release.
* Added coefficient standard errors and residual standard error to the summary
output.
* Added implementation for the df.residual() function to get the degrees of
freedom for the model.
* Removed misleading calculation of deviance.
* Used roxygen2 4.0.1 to generate the documentation.
* Added a new demo data set `oracledb'.
CHANGES in `usl' VERSION 1.2.2 (2014-04-03)
* Use roxygen2 3.1 to generate documentation.
* Fix handling of unsorted input data frame for method="default".
CHANGES in `usl' VERSION 1.2.1 (2013-08-12)
* Adapt to `nlmrt' version 2013-8.10
CHANGES in `usl' VERSION 1.2.0 (2013-04-29)
* Added function `confint()' to estimate parameter confidence intervals.
CHANGES in `usl' VERSION 1.1.0 (2013-02-26)
* Added a package vignette.
* Use `Import' instead of `Depend' for the used packages.
* Function `efficiency()' now returns a named vector. The names are the
values of the independent variable, cf. `fitted()' or `residuals()'.
CHANGES in `usl' VERSION 1.0.0 (2013-02-10)
* Initial release on CRAN