gen_surv

Coverage PyPI Tests Python

gen_surv is a Python package for simulating survival data under a variety of models, inspired by the R package genSurv. It supports data generation for:

Cox Proportional Hazards Models (CPHM)
Continuous-Time Markov Models (CMM)
Time-Dependent Covariate Models (TDCM)
Time-Homogeneous Hidden Markov Models (THMM)

📦 Installation

poetry install

✨ Features

Consistent interface across models
Censoring support (uniform or exponential)
Easy integration with pandas and NumPy
Suitable for benchmarking survival algorithms and teaching

🧪 Example

from gen_surv.cphm import gen_cphm

df = gen_cphm(
    n=100,
    model_cens="uniform",
    cens_par=1.0,
    beta=0.5,
    covar=2.0
)
print(df.head())

from gen_surv import generate

df = generate(
    model="cphm",
    n=100,
    model_cens="uniform",
    cens_par=1.0,
    beta=0.5,
    covar=2.0
)

print(df.head())

🔧 Available Generators

Function	Description
`gen_cphm()`	Cox Proportional Hazards Model
`gen_cmm()`	Continuous-Time Multi-State Markov Model
`gen_tdcm()`	Time-Dependent Covariate Model
`gen_thmm()`	Time-Homogeneous Markov Model

genSurvPy/
├── gen_surv/             # Pacote principal
│   ├── __main__.py       # Interface CLI via python -m
│   ├── cphm.py
│   ├── cmm.py
│   ├── tdcm.py
│   ├── thmm.py
│   ├── censoring.py
│   ├── bivariate.py
│   ├── validate.py
│
├── tests/                # Testes automatizados
│   ├── test_cphm.py
│   ├── test_cmm.py
│   ├── test_tdcm.py
│   ├── test_thmm.py
│
├── examples/             # Exemplos de uso
│   ├── run_cphm.py
│   ├── ...
│
├── pyproject.toml        # Configurado com Poetry
├── README.md
├── LICENSE
├── .gitignore

🧠 License

MIT License. See LICENSE for details.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gen_surv-0.6.9.tar.gz (8.6 kB view details)

Uploaded Apr 12, 2025 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

gen_surv-0.6.9-py3-none-any.whl (12.1 kB view details)

Uploaded Apr 12, 2025 Python 3

File details

Details for the file gen_surv-0.6.9.tar.gz.

File metadata

Download URL: gen_surv-0.6.9.tar.gz
Upload date: Apr 12, 2025
Size: 8.6 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: poetry/2.0.0 CPython/3.9.13 Darwin/24.4.0

File hashes

Hashes for gen_surv-0.6.9.tar.gz
Algorithm	Hash digest
SHA256	`752b611e2cab0189820dc02aac1d4824428bb765f37a238fb3b6d693f058d57a`
MD5	`ae7c99e3ee9755c63b71874cb92f6cf5`
BLAKE2b-256	`6bf035adc88bc4273bbdbcca5717a7d7a3b2d89cd2fbc34355fd1b42c7f46c83`

See more details on using hashes here.

File details

Details for the file gen_surv-0.6.9-py3-none-any.whl.

File metadata

Download URL: gen_surv-0.6.9-py3-none-any.whl
Upload date: Apr 12, 2025
Size: 12.1 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: poetry/2.0.0 CPython/3.9.13 Darwin/24.4.0

File hashes

Hashes for gen_surv-0.6.9-py3-none-any.whl
Algorithm	Hash digest
SHA256	`faa857cda815d3f3aaa76922cf4acd08ebcd1b3054e177123a8c7465d608e1c1`
MD5	`e3a8271c649be2b6a9c4554514a7497d`
BLAKE2b-256	`8030005c1f3c5cc2c1e928edb55a7bfdfe9dea3bb3e2cb4f1437f30e2e160768`