fdars-core 0.3.0

Functional Data Analysis algorithms in Rust
Documentation 
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[[bench]]
harness = false
name = "seasonal_benchmarks"
path = "benches/seasonal_benchmarks.rs"

[dependencies.anofox-regression]
optional = true
version = "0.4"

[dependencies.faer]
optional = true
version = "0.23"

[dependencies.getrandom]
optional = true
version = "0.2"

[dependencies.nalgebra]
version = "0.33"

[dependencies.num-complex]
version = "0.4"

[dependencies.rand]
version = "0.8"

[dependencies.rand_distr]
version = "0.4"

[dependencies.rayon]
optional = true
version = "1.10"

[dependencies.rustfft]
version = "6.2"

[dev-dependencies.criterion]
features = ["html_reports"]
version = "0.5"

[features]
default = ["parallel", "linalg"]
js = ["getrandom/js"]
linalg = ["faer", "anofox-regression"]
parallel = ["rayon"]

[lib]
name = "fdars_core"
path = "src/lib.rs"

[package]
authors = ["Simon Muller"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["science", "mathematics"]
description = "Functional Data Analysis algorithms in Rust"
documentation = "https://docs.rs/fdars-core"
edition = "2021"
homepage = "https://github.com/sipemu/fdars"
keywords = ["functional-data", "statistics", "fda", "depth", "clustering"]
license = "MIT"
name = "fdars-core"
readme = "README.md"
repository = "https://github.com/sipemu/fdars"
rust-version = "1.70"
version = "0.3.0"

[target.'cfg(target_arch = "wasm32")'.dependencies.getrandom]
features = ["js"]
version = "0.2"