JohannesNE

Spring-mass tutorial fails on MTK v8.3.2

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The ModelingToolkit Spring-mass tutorial fails. https://github.com/SciML/ModelingToolkit.jl/blob/master/docs/src/tutorials/spring_mass.md line 47: ``` ERROR: LoadError: MethodError: Cannot `convert` an object of type Term{Float64, Nothing} to an object of type Float64 Closest candidates are: convert(::Type{T},...

Ignore symlinks

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#159 discusses the need for symlink backup. This have since been implemented. Is there a way to disable backup of symlinked folders? With dropbox, I used symlinks to exclude large...

#### Summary: When sampling a parameter (e.g. with `as.matrix()`) it would be useful to sample all parameters except those that match a regular expression. Negative lookahead is usefull for this....

Characters generated using `fmt_number()` with the `pattern` argument are not escaped when rendered with `as_latex()`

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If I try to add a % after a number, with `fmt_number(pattern = "{x} %")`, the % is not escaped when the table is converted to latex. (I know I...

Donations

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Do you accept donations for this brilliant work?

Problem with user function that calls a second function

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If I make a function (`fun1`), call that function from another function (`fun2`), and call `fun2` from a job, `fun1` can not be found. ``` r make_nums Calls: sourceWithProgress ->...

I originally posted this as a comment to another issue, but it should probably be a separate issue. https://github.com/bbolker/broom.mixed/issues/123#issuecomment-1057844093_ In the data frame returned by `augment`, the values `.mu` and...

Output from `augment.merMod` is effected by missing values in `data` or `newdata` variables that are not used the model.

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Using `augment.merMod` with data/newdata with missing values (sometimes) gives a warning, even when the missing values are in unused variables. It seems like calculation of `.mu`, `.offset` and remaining columns...

Received on Twitter: It was exactly fourteen minutes past midnight when he completed the final call. Among the men he had reched were honourable men. Their voices would be heard...

I tried to make posterior predictions by adapting the example from `predict()` for my model. I made a mistake where I used the conditional model, `m_lin_reg` instead of `linear_reg`. This...