* Fixed a bug where the plotting functions printed `NULL` to the console.
# stressaddition 3.0.1
* Add missing return values in documentation to comply with CRAN repository policy.
* Add a link to the paper in the description file.
* Added missing return values in documentation to comply with CRAN repository policy.
* Added a link to the paper in the description file.
# stressaddition 3.0.0
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@@ -16,15 +22,17 @@
* Fixed some errors in the documentation and improved the examples.
## New
* Export function `log10_ticks()` for calculating tick mark labels and positions on a base 10 logarithmic axis.
* Add example data set `multiple_stress` for use with `multi_tox()`.
* Exported function `log10_ticks()` for calculating tick mark labels and positions on a base 10 logarithmic axis.
* Added example data set `multiple_stress` for use with `multi_tox()`.
* Various minor changes to prepare for CRAN submission.
# stressaddition 2.7.0
* Fixed some spelling mistakes.
*`predict_mixture()` now also returns the various stresses.
# stressaddition 2.6.0
* The `curves` data frame in the output of `ecxsys()` now contains a column with the concentrations which are used for the plot functions in this package. This is useful for generating a nicer concentration axis.
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@@ -33,46 +41,54 @@
*`response_level` of 0 or 100 is now allowed. 0 returns the concentration 0 and 100 returns the concentration `Inf`. Previously this resulted in an error.
* It is now possible to set the reference to a custom value, for example 100.
# stressaddition 2.5.0
* Fixed unintended behaviour in `plot_effect()` and `plot_stress()` where supplying an empty vector caused the four standard curves to show. Now setting `which` to an empty vector or `NULL` shows just the axes. The default value is NA.
* Renamed the `mixture_effect` column in the `predict_mixture` output data frame to `effect`.
* Remove the restriction that the concentration vectors in `predict_mixture()` must be the same length. The longer length must be a multiple of the shorter length because the shorter vector gets recycled to the longer length.
# stressaddition 2.4.0
* Improved `plot_effect()` and `plot_stress()`. You can now control whether the observed values (the points) should be plotted using the `which` argument.
* Renamed `sys_tox_not_fitted` and `sys_tox_env_not_fitted` to `sys_tox_observed` and `sys_tox_env_observed` in the output of `ecxsys()`.
# stressaddition 2.3.0
*`predict_mixture()` accepts multiple values for the concentration of the second toxicant. Both concentration vectors must be the same length.
*`predict_mixture()`now accepts multiple values for the concentration of the second toxicant. Both concentration vectors must be the same length.
*`predict_mixture()` now returns a data frame with the concentrations and effects. Previously it was only a vector of effects.
*`predict_mixture()` received a new argument "effect_max" which scales the returned effect values.
* Renamed the arguments of `predict_mixture()` to use underscore letters a and b instad of 1 and 2. For example model_1 is now model_a.
# stressaddition 2.2.1
* Improve documentation of `predict_mixture()` and include example of symmetry.
* Improved documentation of `predict_mixture()` and included example of symmetry.
# stressaddition 2.2.0
*`ec()` raises an error if the curve does not cross the desired response level.
*`ecxsys()` gains a new argument `curves_concentration_max` which allows setting the maximum concentration of the predicted curves.
*`ec()` now raises an error if the curve does not cross the desired response level.
*`ecxsys()` gained a new argument `curves_concentration_max` which allows setting the maximum concentration of the predicted curves.
# stressaddition 2.1.1
* Restore the default behaviour of `plot_effect()` to also show `effect_tox` and `effect_tox_env`.
# stressaddition 2.1.0
* The functions `plot_effect()` and `plot_stress()` gain a `which` argument that controls which curves are plotted. Consequently, the `show_LL5_model` argument of `plot_effect()` was removed.
* The functions `plot_effect()` and `plot_stress()` gained a `which` argument that controls which curves are plotted. Consequently, the `show_LL5_model` argument of `plot_effect()` was removed.
* Added arguments `xlab` and `ylab` to `plot_stress`.
* Added argument `main` to both plot functions.
* Changed some colors of the stress curves so they better match with the colors of related effect curves.
* Added `predict_mixture()` for the prediction of the effects of mixtures of two toxicants.
* Fixed documentation of `ecxsys()` and `predict_ecxsys()`.
