Copy and paste

R

RStan

library(rstan)
options(mc.cores = parallel::detectCores())

StanModel = stan_model(model_code = model)

fit = sampling(
        StanModel
       ,data = d
       ,init = init
       ,control = list(
            adapt_delta   = 0.999
           ,max_treedepth = 20
           )
       ,iter = 5000
)

expose

Diagnostics for Pharmacometric Models • xpose - GitHub Pages

general

text_order = paste('
text1
',
object1
,'
text2
',
object2
,'
text3
',sep = "")

eval(parse(text=text_order))

Python

Numpy/Pandas

'Under construction'

PyStan

'Under construction'

Sympy

from sympy import *
init_printing()

x, mu_i = var('x mu_i')
mu = symbols('mu')
sigma, omega = symbols('sigma omega', positive=True, real=True)

integrate(pdf,(mu,-oo,oo))

STAN

'Under construction'

NONMEM

'Under construction'