#!/usr/bin/env python
''' Template that shows an example on how to use the grmEstimatorToolbox.
'''
# standard library
import os
import sys
# edit pythonpath
dir_ = os.path.realpath(__file__).replace('/example/template.py', '')
sys.path.insert(0, dir_)
# project library
import grmToolbox
''' Simulation.
'''
grmToolbox.simulate()
''' Estimation.
'''
grmToolbox.estimate()
# standard library
import os
import sys
# project library
import grmToolbox
import grmReader
from mpi4py import MPI
import numpy
''' Simulation.
'''
grmToolbox.simulate()
''' Estimation.
'''
rslt=grmToolbox.estimate()
Y1_beta = (rslt['Y1_beta'])
Y0_beta = (rslt['Y0_beta'])
U1_var = rslt['U1_var']
U0_var = rslt['U0_var']
# Get the X's from the data
# Checks.
assert (os.path.exists('grmInit.ini'))
# Process initialization file.
initDict = grmReader.read()
data = numpy.genfromtxt(initDict['fileName'], dtype = 'float')
trash = numpy.array(initDict['Y1_beta'])
numCovarsOut = trash.shape[0]
X = data[:,2:(numCovarsOut + 2)]
D = data[:,1]
from mpi4py import MPI
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
#size= number of processors
size = comm.Get_size()
''' Simulation.
'''
grmToolbox.simulate()
''' Estimation.
'''
grmToolbox.estimate()
def Treatment_simulation():
''' Retrieve Estimated parameters from grmRslt.json
'''
# Checks.
assert (os.path.exists('grmRslt.json'))
ParamEst = json.load(open('grmRslt.json'))
numAgents = ParamEst['numAgents']
fileName = ParamEst['fileName']
Y1_beta = np.array(ParamEst['Y1_beta'])
''' Template that shows an example on how to use the grmEstimatorToolbox.
'''
# standard library
import os
import sys
# edit pythonpath
dir_ = os.path.realpath(__file__).replace('/example/template.py','')
sys.path.insert(0, dir_)
# project library
import grmToolbox
#
# Simulation.
#
grmToolbox.simulate()
#
# Estimation.
#
rslt = grmToolbox.estimate(outputfile = 'grmRslt.json')
#
# Calculating Treatment Effects
#
treat = grmToolbox.calcSimTreatEffects(20, outputfile = 'grmTreatEffects.json')
print rslt
print treat
