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BIGL 1.9.3 (2024-07-24)

• allow specification of text size and own colours in plotConfInt
• fix bug isolating points in 3D plot

BIGL 1.9.2 (2024-06-24)

• fix bug missing colours in legends for contour and effect size plots
• fix bug contour plot for effect sizes if no maxR defined

BIGL 1.9.1 (2024-05-02)

• fix bug 2D plots if non-unique rows

BIGL 1.9.0 (2023-10-26)

• reverse and swap axes for contour plot and effect sizes plot
• add normal, gamma and two-point distributions to wild_bootstrap methodology
• control (directional) False Coverage Rate in addition to Family Wise Error Rate
• add options to plot in grey scale
• use Experiment 4 in vignette
• warn about pending deprecation of transformations

BIGL 1.8.0 (2023-06-13)

• new function synergy_plot_bycomp() to create plots for 2D cross-section of response surfaces from different null models
• fix small bugs in plot.effect-size and plotResponseSurface functions

BIGL 1.7.0 (2023-03-08)

• switch from rgl to plotly for the 3D plots
• move NEWS to NEWS.md

BIGL 1.6.7 (2023-01-19)

• replace rgl.* functions due to upcoming deprecation in the rgl package

BIGL 1.6.6 (2022-05-04)

• skip further tests on CRAN that may fail randomly

BIGL 1.6.5 (2021-10-26)

• skip some tests on CRAN that may fail randomly

BIGL 1.6.4 (2021-09-01)

• Fix vignettes to avoid CRAN warnings on systems without pandoc or webshot2

• Make sure NAs in bootConfint are handled

BIGL 1.6.3 (2021-06-29)

• Fix code for compatibility with new ggplot2 version

BIGL 1.6.2 (2021-03-10)

• Fix issue with testing when variance at off-axis points equals zero

BIGL 1.6.0 (2020-12-16)

• Residual resampling according to mean-variance trend

• Use bootstrapped confidence intervals for point-by-point and overall effect sizes

• Internal redesign for speed-up, using “d1d2” identifiers

BIGL 1.5.3 (2020-09-10)

• fix issue with generalizedLoewe and hsa functions when data is a tibble

BIGL 1.5.2 (2020-07-24)

• fix issue with smooth monotherapy plot when dotted line was not shown due to numeric inaccuracies

BIGL 1.5.1 (2020-07-02)

• show smooth prediction curve on the marginal fit plot

• show warning for agonist/antagonist combination when using generalized Loewe model

BIGL 1.4.3 (2020-01-30)

• fixes for special case of 2 flat monotherapy profiles

BIGL 1.4.2 (2020-01-17)

• even better support for flat monotherapies, consistent calls/colors for all representations (contour plot, summary table and 3d plot)

• added clarification to description of Bliss method in the “Methodology” vignette

• fixed typos

BIGL 1.4.1 (2019-06-20)

• improve tests

BIGL 1.4.0 (2019-06-18)

• added Alternative Loewe independence null model

BIGL 1.3.0 (2019-02-28)

• added Bliss independence null model

BIGL 1.2.3 (2018-11-21)

• better support for flat monotherapies

BIGL 1.2.2 (2018-09-07)

• make sure if no replicates are there model/unequal method is not allowed

BIGL 1.2.1 (2018-08-24)

• fix regression bug to allow custom axis labels for the contour plot

BIGL 1.2.0 (2018-06-13)

• support heterogeneous variance with new argument ‘method’ for ‘fitSurface’

BIGL 1.1.3 (2018-05-14)

• show EC50 in log10 terms for monotherapy summary

• allow custom compound names for plotting

BIGL 1.1.2 (2018-05-07)

• fix monotherapy formula in the vignette

BIGL 1.1.1 (2018-01-02)

• added reference to the original article

• fix DESCRIPTION file according to new R CMD check policy

BIGL 1.1.0 (2017-09-22)

• isobologram() plot is now available for ResponseSurface objects It is also now included in the shiny app.

• summary.ResponseSurface does not fail if marginal fits have constraints

• Change of package maintainer

BIGL 1.0.3 (2017-08-18)

• Contour plot for maxR now has correct p-value labels

• Summary for marginal fits does not fail if Hessian computation failed

BIGL 1.0.2 (2017-07-31)

• extra arguments in fitMarginals are now passed to the optimizer functions

BIGL 1.0.1 (2017-06-29)

• predict method added for the MarginalFit objects

BIGL 1.0 (2017-06-28)

• Initial public release

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.