hea: R-style Linear Models without R (but with Python)
Install
pip install hea
for core functionalities.
or if you want to load the example datasets:
pip install "hea[data]"
Usages
Data transformation and visualization
hea supports mostly tidyverse compatible api (can be chained with the classic + or with the method-based . in the fluent API style) for data manipulation:
from hea import data
penguins = data("penguins", package="palmerpenguins")
penguins.glimpse()
(
penguins.ggplot(
x="flipper_length_mm", y="body_mass_g", color="species", shape="species"
)
.geom_point()
.geom_smooth(method="lm")
)
We use Polars DataFrame under the hood. It's basically tidypoars + plotnine, but in a more integrated manner. More examples can be found in examples/books/r4ds
Linear model(s)
Currently lm and gam are relatively mature, while glm and gmm (generalized mixed models, the lmer and glmer equivalents) are relatively rudimental:
from hea import data
from hea.models import lm
gala = data("gala", package="faraway")
m = lm("Species ~ Area + Adjacent + Elevation + Nearest + Scruz", gala)
m.summary()
from hea import data
from hea.models import gam
from hea.family import Gamma
trees = data("trees", "mgcv")
ct1 = gam("Volume ~ s(Height) + s(Girth)", family=Gamma(link="log"), data=trees)
ct1.summary()
ct1.plot_smooth(partial_residuals=True)
See more examples in examples/books/lmwr, examples/books/gam and more.
Metadata
Release files for hea 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hea-0.2.0.tar.gz | 1.5 MB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| hea-0.2.0-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details |
| hea-0.2.0-cp311-abi3-musllinux_1_2_x86_64.whl | CPython 3.11 | abi3 | Linux musl 1.2+ x86-64 | Details |
| hea-0.2.0-cp311-abi3-musllinux_1_2_aarch64.whl | CPython 3.11 | abi3 | Linux musl 1.2+ ARM64 | Details |
| hea-0.2.0-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| hea-0.2.0-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.11 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| hea-0.2.0-cp311-abi3-macosx_11_0_arm64.whl | CPython 3.11 | abi3 | macOS 11.0+ ARM64 | Details |
| hea-0.2.0-cp311-abi3-macosx_10_12_x86_64.whl | CPython 3.11 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 44.7 MB
Release files / hea-0.2.0.tar.gz
| Download URL | hea-0.2.0.tar.gz |
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| Size | 1.5 MB |
| Tags | Source |
|
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