BSD Portsmath/py-statsmodels 0.15.0 FreeBSD
Complement to SciPy for statistical computations
- System
- FreeBSD
- Repository
- FreeBSD ports
- Maintainer
- [email protected]
- Last update
- Commit
c47c2f6d30- License
- BSD3CLAUSE
- Categories
- math, python
- Package size
- 12339.3 KiB, 74633.4 KiB installed
Description
statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.
Main Features:
- Linear regression models
- Mixed Linear Model with mixed effects and variance components
- GLM: Generalized linear models with support for all of the one-parameter exponential family distributions
- Bayesian Mixed GLM for Binomial and Poisson
- GEE: Generalized Estimating Equations for one-way clustered or longitudinal data
- Discrete models
- RLM: Robust linear models with support for several M-estimators.
- Time Series Analysis: models for time series analysis
- Survival analysis
- Multivariate
- Nonparametric statistics: Univariate and multivariate kernel density estimators
- Datasets: Datasets used for examples and in testing
- Statistics: a wide range of statistical tests
- Imputation with MICE, regression on order statistic and Gaussian imputation
- Mediation analysis
- Graphics includes plot functions for visual analysis of data and model results
- I/O
- Miscellaneous models
- Sandbox: statsmodels contains a sandbox folder with code in various stages of development and testing which is not considered "production ready". This covers among others
In the other systems
| System | Port | Version |
|---|---|---|
| FreeBSD | math/py-statsmodels | 0.15.0 |
| NetBSD | math/py-statsmodels | 0.15.0 |
| DragonFly | math/py-statsmodels | 0.14.1 |
Install
Binary package:
pkg install py312-statsmodelsFrom the ports tree:
cd /usr/ports/math/py-statsmodels/ && make install cleanTo depend on this port in another port's Makefile:
RUN_DEPENDS= py312-statsmodels>0:math/py-statsmodelsPackages
The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.
| Repository | aarch64 | amd64 | armv6 | armv7 | i386 |
|---|---|---|---|---|---|
| FreeBSD:14:latest | 0.15.0 | 0.15.0 | - | 0.14.1 | 0.15.0 |
| FreeBSD:14:quarterly | 0.15.0 | 0.15.0 | n/a | 0.14.1 | 0.15.0 |
| FreeBSD:15:latest | 0.15.0 | 0.15.0 | n/a | 0.14.1 | 0.14.1 |
| FreeBSD:15:quarterly | 0.15.0 | 0.15.0 | n/a | n/a | n/a |
| FreeBSD:16:latest | 0.15.0 | 0.15.0 | n/a | n/a | n/a |
| FreeBSD:16:quarterly | n/a | n/a | n/a | n/a | n/a |
Dependencies
As this port's Makefile names them.
Build 5
${PYTHON_PKGNAMEPREFIX}meson-python>=0: devel/meson-python${PYTHON_PKGNAMEPREFIX}numpy>=2.0.0,1<3,1: math/py-numpy${PYTHON_PKGNAMEPREFIX}scipy>=1.13,1<2,1: science/py-scipy${PYTHON_PKGNAMEPREFIX}setuptools-scm>=9.2.0<10: devel/py-setuptools-scm${PYTHON_PKGNAMEPREFIX}wheel>=0: devel/py-wheel
Runtime 6
${PYTHON_PKGNAMEPREFIX}formulaic>=1.1.0: math/py-formulaic${PYTHON_PKGNAMEPREFIX}numpy>=1.23.5,1<3,1: math/py-numpy${PYTHON_PKGNAMEPREFIX}packaging>=21.3: devel/py-packaging${PYTHON_PKGNAMEPREFIX}pandas>=1.4,1: math/py-pandas${PYTHON_PKGNAMEPREFIX}patsy>=0.5.6: math/py-patsy${PYTHON_PKGNAMEPREFIX}scipy>=1.8,1: science/py-scipy
The full lists below include those, and their dependencies in turn.
Build dependencies 32
- archivers/liblz4
- archivers/zstd
- devel/binutils
- devel/gettext-runtime
- devel/libffi
- devel/meson
- devel/meson-python
- devel/ninja
- devel/py-build
- devel/py-installer
- devel/py-packaging
- devel/py-pyproject-hooks
- devel/py-pyproject-metadata
- devel/py-setuptools
- devel/py-setuptools-scm
- devel/py-wheel
- devel/readline
- lang/cython
- lang/gcc14
- lang/python312
- lang/python315
- math/gmp
- math/mpc
- math/mpdecimal
- math/mpfr
- math/openblas
- math/py-numpy
- math/qhull
- print/indexinfo
- science/py-scipy
- sysutils/patchelf
- textproc/expat2
Run dependencies 38
- archivers/liblz4
- archivers/zstd
- databases/py-sqlite3
- databases/sqlite3
- devel/binutils
- devel/gettext-runtime
- devel/libedit
- devel/libffi
- devel/py-interface-meta
- devel/py-packaging
- devel/py-python-dateutil
- devel/py-pytz
- devel/py-six
- devel/py-typing-extensions
- devel/py-tzdata
- devel/py-wrapt
- devel/readline
- lang/gcc14
- lang/python312
- lang/python315
- lang/tcl86
- math/gmp
- math/libtommath
- math/mpc
- math/mpdecimal
- math/mpfr
- math/openblas
- math/py-bottleneck
- math/py-formulaic
- math/py-narwhals
- math/py-numexpr
- math/py-numpy
- math/py-pandas
- math/py-patsy
- math/qhull
- print/indexinfo
- science/py-scipy
- textproc/expat2
Required by 36
- biology/atac-seq
- biology/biostar-tools
- biology/chip-seq
- biology/fasda-utils
- biology/py-goatools
- biology/py-hits
- biology/py-scikit-bio
- biology/rna-seq
- devel/py-sirmordred
- finance/py-financedatabase
- finance/py-financetoolkit
- finance/py-fundamentalanalysis
- finance/py-openbb
- finance/py-openbb-charting
- finance/py-openbb-econometrics
- finance/py-openbb-quantitative
- finance/py-openbb-technical
- finance/py-openbb-yfinance
- finance/py-pandas-ta-openbb
- graphics/py-geosnap
- graphics/py-giddy
- graphics/py-urbansim
- math/py-linearmodels
- math/py-seaborn
- math/py-splot
- math/py-ssm
- misc/py-eemeter
- science/py-MDAnalysis
- science/py-MDAnalysisTests
- science/py-abipy
- science/py-arch
- science/py-pysal
- science/py-segregation
- science/py-tobler
- textproc/py-grimoire-elk
- www/py-grimoirelab
Configuration
Options name: math_statsmodels
| Option | Default | Description |
|---|---|---|
| DOCS | off | Build and/or install documentation |
| EXAMPLES | off | Build and/or install examples |
- USES
- python shebangfix
- Service scripts
- none
Files
pkg-plist 170
- share/doc/py312-statsmodels/README.md
- share/examples/py312-statsmodels/incomplete/arima.py
- share/examples/py312-statsmodels/incomplete/arma2.py
- share/examples/py312-statsmodels/incomplete/dates.py
- share/examples/py312-statsmodels/incomplete/glsar.py
- share/examples/py312-statsmodels/incomplete/ols_table.py
- share/examples/py312-statsmodels/incomplete/ols_tftest.py
- share/examples/py312-statsmodels/incomplete/wls_extended.py
- share/examples/py312-statsmodels/notebooks/arima_alternative_estimators_seasonal_differencing.ipynb
- share/examples/py312-statsmodels/notebooks/autoregressions.ipynb
- share/examples/py312-statsmodels/notebooks/autoregressive_distributed_lag.ipynb
- share/examples/py312-statsmodels/notebooks/autoregressive_integrated_moving_average.ipynb
- share/examples/py312-statsmodels/notebooks/categorical_interaction_plot.ipynb
- share/examples/py312-statsmodels/notebooks/chi2_fitting.ipynb
- share/examples/py312-statsmodels/notebooks/contrasts.ipynb
- share/examples/py312-statsmodels/notebooks/copula.ipynb
- share/examples/py312-statsmodels/notebooks/count_hurdle.ipynb
- share/examples/py312-statsmodels/notebooks/deterministics.ipynb
- share/examples/py312-statsmodels/notebooks/discrete_choice_example.ipynb
- share/examples/py312-statsmodels/notebooks/discrete_choice_overview.ipynb
- share/examples/py312-statsmodels/notebooks/distributed_estimation.ipynb
- share/examples/py312-statsmodels/notebooks/ets.ipynb
- share/examples/py312-statsmodels/notebooks/exponential_smoothing.ipynb
- share/examples/py312-statsmodels/notebooks/formulas.ipynb
- share/examples/py312-statsmodels/notebooks/gee_nested_simulation.ipynb
- share/examples/py312-statsmodels/notebooks/gee_score_test_simulation.ipynb
- share/examples/py312-statsmodels/notebooks/generic_mle.ipynb
- share/examples/py312-statsmodels/notebooks/glm.ipynb
- share/examples/py312-statsmodels/notebooks/glm_formula.ipynb
- share/examples/py312-statsmodels/notebooks/glm_weights.ipynb
- share/examples/py312-statsmodels/notebooks/gls.ipynb
- share/examples/py312-statsmodels/notebooks/influence_glm_logit.ipynb
- share/examples/py312-statsmodels/notebooks/interactions_anova.ipynb
- share/examples/py312-statsmodels/notebooks/kernel_density.ipynb
- share/examples/py312-statsmodels/notebooks/linear_regression_diagnostics_plots.ipynb
- share/examples/py312-statsmodels/notebooks/local_projections.ipynb
- share/examples/py312-statsmodels/notebooks/lowess.ipynb
- share/examples/py312-statsmodels/notebooks/markov_autoregression.ipynb
- share/examples/py312-statsmodels/notebooks/markov_regression.ipynb
- share/examples/py312-statsmodels/notebooks/mediation_survival.ipynb
- share/examples/py312-statsmodels/notebooks/metaanalysis1.ipynb
- share/examples/py312-statsmodels/notebooks/mixed_lm_example.ipynb
- share/examples/py312-statsmodels/notebooks/mstl_decomposition.ipynb
- share/examples/py312-statsmodels/notebooks/multivariate_ls.ipynb
- share/examples/py312-statsmodels/notebooks/ols.ipynb
- share/examples/py312-statsmodels/notebooks/ordinal_regression.ipynb
- share/examples/py312-statsmodels/notebooks/pca_fertility_factors.ipynb
- share/examples/py312-statsmodels/notebooks/plots_boxplots.ipynb
- share/examples/py312-statsmodels/notebooks/postestimation_poisson.ipynb
- share/examples/py312-statsmodels/notebooks/predict.ipynb
- share/examples/py312-statsmodels/notebooks/quantile_regression.ipynb
- share/examples/py312-statsmodels/notebooks/quasibinomial.ipynb
- share/examples/py312-statsmodels/notebooks/recursive_ls.ipynb
- share/examples/py312-statsmodels/notebooks/regression_diagnostics.ipynb
- share/examples/py312-statsmodels/notebooks/regression_plots.ipynb
- share/examples/py312-statsmodels/notebooks/robust_models_0.ipynb
- share/examples/py312-statsmodels/notebooks/robust_models_1.ipynb
- share/examples/py312-statsmodels/notebooks/rolling_ls.ipynb
- share/examples/py312-statsmodels/notebooks/star_diagram.png
- share/examples/py312-statsmodels/notebooks/statespace_arma_0.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_chandrasekhar.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_concentrated_scale.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_custom_models.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_cycles.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_dfm_coincident.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_fixed_params.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_forecasting.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_local_linear_trend.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_news.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_sarimax_faq.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_sarimax_internet.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_sarimax_pymc.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_sarimax_stata.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_seasonal.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_structural_harvey_jaeger.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_tvpvar_mcmc_cfa.ipynb
- share/examples/py312-statsmodels/notebooks/statespace_varmax.ipynb
- share/examples/py312-statsmodels/notebooks/stationarity_detrending_adf_kpss.ipynb
- share/examples/py312-statsmodels/notebooks/stats_poisson.ipynb
- share/examples/py312-statsmodels/notebooks/stats_rankcompare.ipynb
- share/examples/py312-statsmodels/notebooks/stl_decomposition.ipynb
- share/examples/py312-statsmodels/notebooks/stl_seasonal_diagnostic_plot.ipynb
- share/examples/py312-statsmodels/notebooks/theta-model.ipynb
- share/examples/py312-statsmodels/notebooks/treatment_effect.ipynb
- share/examples/py312-statsmodels/notebooks/tsa_arma_0.ipynb
- share/examples/py312-statsmodels/notebooks/tsa_arma_1.ipynb
- share/examples/py312-statsmodels/notebooks/tsa_dates.ipynb
- share/examples/py312-statsmodels/notebooks/tsa_filters.ipynb
- share/examples/py312-statsmodels/notebooks/variance_components.ipynb
- share/examples/py312-statsmodels/notebooks/wls.ipynb
- share/examples/py312-statsmodels/python/arima_alternative_estimators_seasonal_differencing.py
- share/examples/py312-statsmodels/python/autoregressions.py
- share/examples/py312-statsmodels/python/autoregressive_distributed_lag.py
- share/examples/py312-statsmodels/python/categorical_interaction_plot.py
- share/examples/py312-statsmodels/python/chi2_fitting.py
- share/examples/py312-statsmodels/python/contrasts.py
- share/examples/py312-statsmodels/python/copula.py
- share/examples/py312-statsmodels/python/count_hurdle.py
- share/examples/py312-statsmodels/python/deterministics.py
- share/examples/py312-statsmodels/python/discrete_choice_example.py
The first 100 are listed.
distinfo 1
| File | Size | SHA256 |
|---|---|---|
| statsmodels-0.15.0.tar.gz | 1.5736853e+07 | 5d257fe58d0772bc46a557880ca78e2a8e07fec7bfd9d11074aef8e33e1aecbc |
Master sites 1
- PYPI