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test_exp_survival_model_sim.py
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test_exp_survival_model_sim.py
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import matplotlib as mpl
mpl.use('Agg')
import survivalstan
from stancache import stancache
import numpy as np
from nose.tools import ok_
from functools import partial
num_iter = 1000
from .test_datasets import sim_test_dataset
model_code = survivalstan.models.exp_survival_model
make_inits = None
def test_null_model_sim(**kwargs):
''' Test survival model on simulated dataset
'''
d = sim_test_dataset()
testfit = survivalstan.fit_stan_survival_model(
model_cohort = 'test model',
model_code = model_code,
df = d,
time_col = 't',
event_col = 'event',
formula = '~ 1',
iter = num_iter,
chains = 2,
FIT_FUN = stancache.cached_stan_fit,
seed = 9001,
make_inits = make_inits,
**kwargs
)
ok_('fit' in testfit)
ok_('coefs' in testfit)
ok_('loo' in testfit)
survivalstan.utils.plot_coefs([testfit])
survivalstan.utils.plot_coefs([testfit], trans=np.exp)
return(testfit)
def test_model_sim(**kwargs):
''' Test survival model on simulated dataset
'''
d = sim_test_dataset()
testfit = survivalstan.fit_stan_survival_model(
model_cohort = 'test model',
model_code = model_code,
df = d,
time_col = 't',
event_col = 'event',
formula = '~ age + sex',
iter = num_iter,
chains = 2,
FIT_FUN = stancache.cached_stan_fit,
seed = 9001,
make_inits = make_inits,
**kwargs
)
ok_('fit' in testfit)
ok_('coefs' in testfit)
ok_('loo' in testfit)
survivalstan.utils.plot_coefs([testfit])
survivalstan.utils.plot_coefs([testfit], trans=np.exp)
return(testfit)