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Quarto problems
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vignettes/articles/compare_poped_with_nonmem.qmd

Lines changed: 14 additions & 14 deletions
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@@ -280,26 +280,26 @@ write_file(nm_mod,file="./compare_poped_with_nonmem_models/run1.mod")
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Then we estimate the model from the data in NONMEM. In PsN this would be
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<!-- `execute ./compare_poped_with_nonmem_models/run1.mod` -->
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`execute ./compare_poped_with_nonmem_models/run1.mod`
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<!-- and -->
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and
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<!-- `sumo ./compare_poped_with_nonmem_models/run1.lst` -->
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`sumo ./compare_poped_with_nonmem_models/run1.lst`
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```{bash nonmem-first-model, filename="PsN command"}
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#| eval: !expr file.exists('run_nonmem_analysis.txt')
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#| output: false
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#| cache: true
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<!-- ```{bash nonmem-first-model, filename="PsN command"} -->
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<!-- #| eval: !expr file.exists('run_nonmem_analysis.txt') -->
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<!-- #| output: false -->
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<!-- #| cache: true -->
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execute ./compare_poped_with_nonmem_models/run1.mod
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```
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<!-- execute ./compare_poped_with_nonmem_models/run1.mod -->
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<!-- ``` -->
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```{bash sumo-first-model, filename="PsN command"}
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#| eval: !expr file.exists('run_nonmem_analysis.txt')
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#| cache: true
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<!-- ```{bash sumo-first-model, filename="PsN command"} -->
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<!-- #| eval: !expr file.exists('run_nonmem_analysis.txt') -->
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<!-- #| cache: true -->
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sumo ./compare_poped_with_nonmem_models/run1.lst
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```
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<!-- sumo ./compare_poped_with_nonmem_models/run1.lst -->
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<!-- ``` -->
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For NONMEM, the parameters' RSE derived from the covariance matrix are:
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