this manuscript mainly focuses on summarizing the previous status and the recently introduced tools, the implications of the new toolbox are lack, which reduces the contribution of this manuscript on SSD evolvement

8 Responses

  • RESOLUTION

    Used Joe’s table and contributions.

    We have expanded the table on software tools and rewritten the section to allow more comparisons between tools.

  • I think a major point we need to highlight is the ability to collaborate using R. For example, the ability for someone to figure out multimodality and then make a pull request. Also, I noticed that there is another Shiny App out there – Shinyssd. starting page 23, should this app be reviewed as well? Shinyssd provides additional functionality in terms of data filtering not included in shinyssdtools. It seems that Shinyssd may be developed specifically for larger databases but it could also be useful for smaller databases. See: https://www.researchgate.net/publication/333458070_shinyssd_v10_Species_Sensitivity_Distributions_for_Ecotoxicological_Risk_Assessment for download information

  • In order to address this question I’d like to expand Table 1 to include more details about each software tools – such as language, os, distributions, model averaging etc are folks in agreement?

    • I wonder if the audience of this paper will be interested in the programming language or os? However, I think further information from a user’s perspective – such as the distributions or the fit method (e.g. maximum likelihood vs regression or other methods) would be of interest.

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