Peaks were sometimes in reverse order in APA example, data file updated.
Try to reduce stack usage in vignettes.
weitrix 1.1.8
Use geom_bin2d in weitrix_calplot scatterplots.
weitrix 1.1.7
Add mu_min, mu_max arguments to weitrix_calibrate_all.
weitrix 1.1.6
Use glm2, which is less prone to optimization failure.
Auto-disable parallel processing if X11 device is open.
Add SLAM-Seq vignette.
weitrix 1.1.5
well_knotted_spline for natural splines with good choice of knots.
weitrix 1.1.4
weitrix_confects for differential testing.
weitrix_rms_confects now called weitrix_sd_confects.
weitrix_calplot now shows mean trend and mean +/- standard deviation trend.
weitrix 1.1.3
weitrix_calibrate_all now includes a simple scaling factor to account for residuals from a fitted model being smaller than residuals from the true model.
weitrix_calplot blue guidelines are similarly adjusted.
Add weitrix_rms_confects to find rows with confidently excessive variation.
weitrix 1.1.2
Vignettes use weitrix_calibrate_all, demonstrate weitrix_calplot.
weitrix_calplot now uses sqrt(weight)*residual on y axis.
weitrix 1.1.1
Switch calibration from linear model on log dispersions to using a gamma GLM.
Add weitrix_calibrate_all function for very flexible calibration.
Add weitrix_calplot to examine quality of weights.
weitrix 0.99.2
Automatic package builder wants package to depend on R version 4.0.
weitrix 0.99.1
weitrix now uses the BiocParallel default parallel processing, rather than the DelayedArray default. (DelayedArray does not use parallel processing by default as of version 0.14.0.)