# rthon
R-style probability functions for Python, providing familiar statistical distribution functions with R-compatible interfaces.
## Features
Currently supports these probability distributions:
- **Normal Distribution**: `dnorm`, `pnorm`, `qnorm`, `rnorm`
- **Uniform Distribution**: `dunif`, `punif`, `qunif`, `runif`
- **Binomial Distribution**: `dbinom`, `pbinom`, `qbinom`, `rbinom`
- **Poisson Distribution**: `dpois`, `ppois`, `qpois`, `rpois`
- **Exponential Distribution**: `dexp`, `pexp`, `qexp`, `rexp`
- **Gamma Distribution**: `dgamma`, `pgamma`, `qgamma`, `rgamma`
### TODO:
- Implement the lm() function, which uses the QR decomposition (WIP)
- It does something, but is very wrong. Maybe look into using basic numpy functions
- or vibe code some C/C++ functions, starting with very basic building blocks
## Installation
```bash
pip install rthon
```
## Quick Start
```python
from rprob import dnorm, pnorm, qnorm, rnorm
# Normal distribution examples
dnorm(0) # PDF at x=0
pnorm(1.96) # CDF at x=1.96
qnorm(0.975) # Quantile for p=0.975
rnorm(10) # 10 random samples
# All functions support R-style parameters
pnorm(1.96, lower_tail=False, log=True)
dnorm([0, 1, 2], mean=1, sd=2)
```
## License
MIT License
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