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No. You should not use functions provided in a given library or package that will **significantly simplify** the
algorithms that you are asked to implement in coursework, if that is the case, you w…
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The conversion of literature measurements into average densities and the fitting steps of the pipeline takes (a lot of) time because they require an estimate of the volume, cell and neuron density of …
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``` r
library(see)
library(bayestestR)
library(rstanarm)
junk and cyl (r = 0.71). This might lead to inappropriate results. See 'Details'
#> in '?equivalence_test'.
#> Picking joint bandwidth…
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This should happen only after we have moved to pyroflows
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`plot_persistence_density` is rather slow, because the density estimation takes a lot of time. For a grid 300x300 and 10000 points, it already takes about 10s with scipy, and more if I try to use skle…
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Perhaps estimating the kernel with the kernel density estimation could provide better results than with an histogram, either in the parametric or non parametric case, as shown in:
https://www.ethz.c…
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This is more complex because there is interplay between
geom_smooth
and
density
that is tricky.
Also, most of the estimation should be treated as if for a discrete distributoins? Way around this …
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@joshwlambert @pratikunterwegs as mentioned in https://github.com/epiverse-trace/epiparameter/pull/254#issuecomment-1986401401, testing the `epiparameter::distribution_tbl()` interfase I tried to conn…
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In the Fortran code for Python wrapper, the kinematic viscosity is divided by a factor of 100 to convert it from cm^2/s to m^2/s. This is not correct, because the correct factor would be 10^4. This al…
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Todo list for improved topoplots:
- [ ] Electrode locations with varying sizes, colors, and fill styles (or completely disable)
- [ ] Optional electrode labels
- [ ] Linestyle options (color, thicknes…