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Release Notes

drda 2.0.4

  • Fitted values and residuals have now the correct length even when there are zero weights.
  • Fixed a bug when calculating the variance for models with fixed parameters.
  • Function predict can now return standard errors and prediction intervals.
  • Upgraded Roxygen2 to version 7.3.2.

drda 2.0.3

  • Updated vignette after review from the Journal of Statistical Software.
  • Fixed again the x-axis of the plot.

drda 2.0.2

  • Fixed a bug in the plot when doses were not previously sorted.
  • Fixed a bug in the x-axis of the plot when data contained zeros.
  • It is now possible to not plot data points by setting option plot_data to FALSE (default TRUE).

drda 2.0.1

  • Small fixes to unit tests because they were not passing on specific systems.
  • Updated vignette with new simulation results.

drda 2.0.0

It is now possible to fit models using either the log-dose or the dose scale.

To accommodate this extension it was necessary to change the default model parameterization, which now follows that of the Emax model (Macdougall, 2006).

Briefly, the 5-parameter logistic function is now defined as

alpha + delta / (1 + nu * exp(-eta * (x - phi)))^(1 / nu)

Parameter alpha is the value of the function when x approaches -Inf. Parameter delta is the (signed) height of the curve. Parameter eta > 0 represents the steepness (growth rate) of the curve. Parameter phi is related to the mid-value of the function. Parameter nu affects near which asymptote maximum growth occurs.

Similarly, the newly implemented log-logistic function (when x >= 0) is defined as

alpha + delta * (x^eta / (x^eta + nu * phi^eta))^(1 / nu)

Check the vignette (vignette("drda", package = "drda")) or the help page (help(drda)) to know more about the available models.

Here is a change log from previous version:

  • Change parameterization to follow that of the Emax model.
  • Implement the log-logistic family of models.
  • Improve initialization algorithm to be more efficient and (hopefully) robust.
  • Exported functions for evaluating theoretical gradient and Hessian of each implemented model.
  • Implement the effective_dose function for estimating effective doses.
  • Added examples to help pages.
  • Many minor bug fixes (too many to list them all).

drda 1.0.0

First public release.