From f4fcef8228ebd5a1a73bc6edc47b5efa259c2e20 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 23 Mar 2022 10:32:36 +0100 Subject: Use 'investr' conditionally in tests, updates Most prominently, a README was added, giving a nice overview for the people visiting the github page, the package page on CRAN, or the online docs at pkgdown.jrwb.de. The maintainer e-mail address was also updated. --- docs/news/index.html | 161 +++++++++++++-------------------------------------- 1 file changed, 39 insertions(+), 122 deletions(-) (limited to 'docs/news/index.html') diff --git a/docs/news/index.html b/docs/news/index.html index d3ddaa8..f422331 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -1,66 +1,12 @@ - - - - - - - -Changelog • chemCal - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Changelog • chemCal - - + + - - -
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Changelog

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-chemCal 0.2.2 Unreleased -

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  • ‘calplot’ gains an argument ‘legend_x’ for better control of the legend position

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    chemCal 0.2.3

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    • Make the use of the ‘investr’ package conditional in testthat tests, update maintainer e-mail address
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    chemCal 0.2.22021-04-17

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    • ‘calplot’ gains an argument ‘legend_x’ for better control of the legend position

    • Added the cadmium dataset from Rocke and Lorenzato (1995)

    • Suggest: rmarkdown as it is not a dependency of knitr any more, as pointed out by Kurt Hornik

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    -chemCal 0.2.1 2018-07-17 -

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    • ‘inverse.predict’: Do not work on the means of the calibration standards any more, as this ignores the variability of y values about the means. Thanks to Anna Burniol Figols for pointing out this issue

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    chemCal 0.2.12018-07-17

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    • ‘inverse.predict’: Do not work on the means of the calibration standards any more, as this ignores the variability of y values about the means. Thanks to Anna Burniol Figols for pointing out this issue

    • Use testthat for tests to simplify development. Adapt the tests using data with replicate standard measurements to work on the means in order to show the relation to ‘inverse.predict’ from earlier versions. Include comparisons with investr::calibrate(method = ‘Wald’) for unweighted regressions. Include tests with more precision to check for changes in numerical output across versions.

    • ‘lod’ and ‘loq’: In the lists that are returned, return the list component ‘y’ without names, because we always only have a single element in ‘y’ (previously the name ‘1’ was returned).

    • Convert vignette to html and explain the changes to ‘inverse.predict’

    • Add two example dataset, one from an online course at the University of Toronto, one from Rocke and Lorenzato (1995)

    • Update static documentation

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    -chemCal 0.1-37 2015-10-08 -

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    • Maintenance release
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    -chemCal 0.1-34 2014-04-25 -

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    • Bugfix in lod() and loq(): In the case of small absolute x values (e.g. on the order of 1e-4 and smaller), the lod or loq calculated using the default method could produce inaccurate results as the default tolerance that was used in the internal call to optimize is inappropriate in such cases. Now a reasonable default is used which can be overriden by the user. Thanks to Jérôme Ambroise for reporting the bug.
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    For a detailed list of changes to the chemCal source please consult the commit history on https://cgit.jrwb.de/chemCal

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chemCal 0.1-372015-10-08

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  • Maintenance release
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chemCal 0.1-342014-04-25

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  • Bugfix in lod() and loq(): In the case of small absolute x values (e.g. on the order of 1e-4 and smaller), the lod or loq calculated using the default method could produce inaccurate results as the default tolerance that was used in the internal call to optimize is inappropriate in such cases. Now a reasonable default is used which can be overriden by the user. Thanks to Jérôme Ambroise for reporting the bug.
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For a detailed list of changes to the chemCal source please consult the commit history on https://cgit.jrwb.de/chemCal

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