forked from personal/squiggle.c
98 lines
4.5 KiB
Markdown
98 lines
4.5 KiB
Markdown
# Roadmap
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## To do
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- [ ] Big refactor
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- [ ] Come up with a better headline example; fermi paradox paper is too complicated
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- [ ] Make README.md less messy
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- [ ] Give examples of new functions
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- [ ] Post on suckless subreddit
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- [ ] Drive in a few more real-life applications
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- [ ] US election modelling?
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- [ ] Look into using size_t instead of int for sample numbers
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- [ ] Reorganize code a little bit to reduce usage of gcc's nested functions
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## Done
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- [x] Document print stats
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- [x] Document rudimentary algebra manipulations for normal/lognormal
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- [x] Think through whether to delete cdf => samples function => not for now
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- [x] Think through whether to:
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- simplify and just abort on error
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- complexify and use boxes for everything
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- leave as is
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- [x] Offer both options
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- [x] Add more functions to do algebra and get the 90% c.i. of normals, lognormals, betas, etc.
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- Think through which of these make sense.
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- [x] Systematize references
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- [x] Think through seed initialization
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- [x] Document parallelism
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- [x] Document confidence intervals
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- [x] Add example for only one sample
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- [x] Add example for many samples
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- [x] Use gcc extension to define functions nested inside main.
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- [x] Chain various `sample_mixture` functions
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- [x] Add beta distribution
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- See <https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution> for a faster method.
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- [x] Use OpenMP for acceleration
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- [x] Add function to get sample when given a cdf
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- [x] Don't have a single header file.
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- [x] Structure project a bit better
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- [x] Simplify `PROCESS_ERROR` macro
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- [x] Add README
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- [x] Schema: a function which takes a sample and manipulates it,
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- [x] and at the end, an array of samples.
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- [x] Explain boxes
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- [x] Explain nested functions
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- [x] Explain exit on error
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- [x] Explain individual examples
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- [x] Rename functions to something more self-explanatory, e.g,. `sample_unit_normal`.
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- [x] Add summarization functions: mean, std
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- [x] Add sampling from a gamma distribution
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- https://dl.acm.org/doi/pdf/10.1145/358407.358414
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- [x] Explain correlated samples
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- [x] Test summary statistics for each of the distributions.
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- [x] For uniform
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- [x] For normal
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- [x] For lognormal
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- [x] For lognormal (to syntax)
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- [x] For beta distribution
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- [x] Clarify gamma/standard gamma
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- [x] Add efficient sampling from a beta distribution
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- https://dl.acm.org/doi/10.1145/358407.358414
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- https://link.springer.com/article/10.1007/bf02293108
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- https://stats.stackexchange.com/questions/502146/how-does-numpy-generate-samples-from-a-beta-distribution
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- https://github.com/numpy/numpy/blob/5cae51e794d69dd553104099305e9f92db237c53/numpy/random/src/distributions/distributions.c
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- [x] Pontificate about lognormal tests
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- [x] Give warning about sampling-based methods.
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- [x] Have some more complicated & realistic example
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- [x] Add summarization functions: 90% ci (or all c.i.?)
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- [x] Link to the examples in the examples section.
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- [x] Add a few functions for doing simple algebra on normals, and lognormals
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- [x] Add prototypes
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- [x] Use named structs
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- [x] Add to header file
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- [x] Provide example algebra
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- [x] Add conversion between 90% ci and parameters.
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- [x] Use that conversion in conjunction with small algebra.
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- [x] Consider ergonomics of using ci instead of c_i
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- [x] use named struct instead
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- [x] demonstrate and document feeding a struct directly to a function; my_function((struct c_i){.low = 1, .high = 2});
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- [x] Move to own file? Or signpost in file? => signposted in file.
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- [x] Write twitter thread: now [here](https://twitter.com/NunoSempere/status/1707041153210564959); retweets appreciated.
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- [x] Write better confidence interval code that:
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- Gets number of samples as an input
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- Gets either a sampler function or a list of samples
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- is O(n), not O(nlog(n))
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- Parallelizes stuff
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## Discarded
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- [ ] ~~Disambiguate sample_laplace--successes vs failures || successes vs total trials as two distinct and differently named functions~~
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- [ ] ~~Support all distribution functions in <https://www.squiggle-language.com/docs/Api/Dist>~~
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- [ ] ~~Add a custom preprocessor to allow simple nested functions that don't rely on local scope?~~
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- [ ] ~~Add tests in Stan?~~
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- [ ] ~~Test results for lognormal manipulations~~
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- [ ] ~~Consider desirability of defining shortcuts for algebra functions. Adds a level of magic, though.~~
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- [ ] ~~Think about whether to write a simple version of this for [uxn](https://100r.co/site/uxn.html), a minimalist portable programming stack which, sadly, doesn't have doubles (64 bit floats)~~
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