rthon 0.4.0

R-style probability functions for Python with high-performance C linear regression

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

pip install rthon

Quick Start

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