def __init__(self, y, x, regimes, w=None, constant_regi='many',
cols2regi='all', method='full', epsilon=0.0000001,
regime_err_sep=False, cores=None, spat_diag=False,
vm=False, name_y=None, name_x=None,
name_w=None, name_ds=None, name_regimes=None):
n = USER.check_arrays(y, x)
USER.check_y(y, n)
USER.check_weights(w, y, w_required=True)
self.constant_regi = constant_regi
self.cols2regi = cols2regi
self.regime_err_sep = regime_err_sep
self.name_ds = USER.set_name_ds(name_ds)
self.name_y = USER.set_name_y(name_y)
self.name_w = USER.set_name_w(name_w, w)
self.name_regimes = USER.set_name_ds(name_regimes)
self.n = n
self.y = y
x_constant = USER.check_constant(x)
name_x = USER.set_name_x(name_x, x)
self.name_x_r = name_x
cols2regi = REGI.check_cols2regi(constant_regi, cols2regi, x)
self.regimes_set = REGI._get_regimes_set(regimes)
self.regimes = regimes
USER.check_regimes(self.regimes_set, self.n, x.shape[1])
self.regime_err_sep = regime_err_sep
if regime_err_sep == True:
if set(cols2regi) == set([True]):
self._error_regimes_multi(y, x, regimes, w, cores,
method, epsilon, cols2regi, vm, name_x, spat_diag)
else:
raise Exception, "All coefficients must vary accross regimes if regime_err_sep = True."
else:
regimes_att = {}
regimes_att['x'] = x_constant
regimes_att['regimes'] = regimes
regimes_att['cols2regi'] = cols2regi
x, name_x = REGI.Regimes_Frame.__init__(self, x_constant,
regimes, constant_regi=None, cols2regi=cols2regi,
names=name_x)
BaseML_Error.__init__(
self, y=y, x=x, w=w, method=method, epsilon=epsilon, regimes_att=regimes_att)
self.title = "MAXIMUM LIKELIHOOD SPATIAL ERROR - REGIMES" + \
" (METHOD = " + method + ")"
self.name_x = USER.set_name_x(name_x, x, constant=True)
self.name_x.append('lambda')
self.kf += 1 # Adding a fixed k to account for lambda.
self.chow = REGI.Chow(self)
self.aic = DIAG.akaike(reg=self)
self.schwarz = DIAG.schwarz(reg=self)
self._cache = {}
SUMMARY.ML_Error(reg=self, w=w, vm=vm,
spat_diag=spat_diag, regimes=True)
def __init__(self, y, x, regimes, w=None, constant_regi='many',
cols2regi='all', method='full', epsilon=0.0000001,
regime_err_sep=False, regime_lag_sep=False, cores=False, spat_diag=False,
vm=False, name_y=None, name_x=None,
name_w=None, name_ds=None, name_regimes=None):
n = USER.check_arrays(y, x)
USER.check_y(y, n)
USER.check_weights(w, y, w_required=True)
self.constant_regi = constant_regi
self.cols2regi = cols2regi
self.regime_err_sep = regime_err_sep
self.name_ds = USER.set_name_ds(name_ds)
self.name_y = USER.set_name_y(name_y)
self.name_w = USER.set_name_w(name_w, w)
self.name_regimes = USER.set_name_ds(name_regimes)
self.n = n
self.y = y
x_constant = USER.check_constant(x)
name_x = USER.set_name_x(name_x, x)
self.name_x_r = name_x
cols2regi = REGI.check_cols2regi(constant_regi, cols2regi, x)
self.regimes_set = REGI._get_regimes_set(regimes)
self.regimes = regimes
USER.check_regimes(self.regimes_set, self.n, x.shape[1])
self.regime_err_sep = regime_err_sep
if regime_err_sep == True:
if set(cols2regi) == set([True]):
self._error_regimes_multi(y, x, regimes, w, cores,
method, epsilon, cols2regi, vm, name_x, spat_diag)
else:
raise Exception, "All coefficients must vary accross regimes if regime_err_sep = True."
else:
regimes_att = {}
regimes_att['x'] = x_constant
regimes_att['regimes'] = regimes
regimes_att['cols2regi'] = cols2regi
x, name_x = REGI.Regimes_Frame.__init__(self, x_constant,
regimes, constant_regi=None, cols2regi=cols2regi,
names=name_x)
BaseML_Error.__init__(
self, y=y, x=x, w=w, method=method, epsilon=epsilon, regimes_att=regimes_att)
self.title = "MAXIMUM LIKELIHOOD SPATIAL ERROR - REGIMES" + \
" (METHOD = " + method + ")"
self.name_x = USER.set_name_x(name_x, x, constant=True)
self.name_x.append('lambda')
self.kf += 1 # Adding a fixed k to account for lambda.
self.chow = REGI.Chow(self)
self.aic = DIAG.akaike(reg=self)
self.schwarz = DIAG.schwarz(reg=self)
self._cache = {}
SUMMARY.ML_Error(
reg=self, w=w, vm=vm, spat_diag=spat_diag, regimes=True)
def _work_error(y,x,regi_ids,r,w,method,epsilon,name_ds,name_y,name_x,name_w,name_regimes):
w_r,warn = REGI.w_regime(w, regi_ids[r], r, transform=True)
y_r = y[regi_ids[r]]
x_r = x[regi_ids[r]]
x_constant = USER.check_constant(x_r)
model = BaseML_Error(y=y_r,x=x_constant,w=w_r,method=method,epsilon=epsilon)
set_warn(model, warn)
model.w = w_r
model.title = "MAXIMUM LIKELIHOOD SPATIAL ERROR - REGIME "+str(r)+" (METHOD = "+method+")"
model.name_ds = name_ds
model.name_y = '%s_%s'%(str(r), name_y)
model.name_x = ['%s_%s'%(str(r), i) for i in name_x]
model.name_w = name_w
model.name_regimes = name_regimes
model.aic = DIAG.akaike(reg=model)
model.schwarz = DIAG.schwarz(reg=model)
return model
def _work_error(y, x, regi_ids, r, w, method, epsilon, name_ds, name_y, name_x, name_w, name_regimes):
w_r, warn = REGI.w_regime(w, regi_ids[r], r, transform=True)
y_r = y[regi_ids[r]]
x_r = x[regi_ids[r]]
x_constant = USER.check_constant(x_r)
model = BaseML_Error(
y=y_r, x=x_constant, w=w_r, method=method, epsilon=epsilon)
set_warn(model, warn)
model.w = w_r
model.title = "MAXIMUM LIKELIHOOD SPATIAL ERROR - REGIME " + \
str(r) + " (METHOD = " + method + ")"
model.name_ds = name_ds
model.name_y = '%s_%s' % (str(r), name_y)
model.name_x = ['%s_%s' % (str(r), i) for i in name_x]
model.name_w = name_w
model.name_regimes = name_regimes
model.aic = DIAG.akaike(reg=model)
model.schwarz = DIAG.schwarz(reg=model)
return model
