def __init__(self, choices, coefficients, logsumparameter=None):
Specification.__init__(self, choices, coefficients)
if self.number_choices > 1:
raise SpecificationError, """not a valid inout - more than 1 """\
"""equations specified for the branch in the tree; only one """\
""" choice expected"""
if logsumparameter is not None:
if logsumparameter > 1 or logsumparameter < 0:
raise SpecificationError, """not a valid input - logsumparameter """\
"""out of range; valid range [0-1]"""
self.logsumparameter = logsumparameter
def __init__(self, choices, coefficients, thresholds, distribution=None):
self.thresholds = thresholds
Specification.__init__(self, choices, coefficients)
if distribution is None:
self.distribution = "logit"
else:
self.distribution = distribution
checkVal, checkText = self.check_text_only([self.distribution])
if not checkVal:
raise SpecificationError, """the distribution specification is not """ """a valid string"""
if self.distribution not in ["logit", "probit"]:
raise SpecificationError, """the ordered model formulations """ """supported are probit and logit specification"""
def __init__(self, choices, coefficients, distribution=None):
Specification.__init__(self, choices, coefficients)
if distribution is None:
self.distribution = 'poisson'
else:
self.distribution = distribution
checkVal, checkText = self.check_text_only([self.distribution])
if not checkVal:
raise SpecificationError, """the distribution specification is not """\
"""a valid string"""
if self.distribution not in ['poisson', 'negativebinomial']:
raise SpecificationError, """the ordered model formulations """\
""" supported are poisson and negativebinomial specification"""
def __init__(self, choices, coefficients, distribution=None):
Specification.__init__(self, choices, coefficients)
if distribution is None:
self.distribution = 'poisson'
else:
self.distribution = distribution
checkVal, checkText = self.check_text_only([self.distribution])
if not checkVal:
raise SpecificationError, """the distribution specification is not """\
"""a valid string"""
if self.distribution not in ['poisson', 'negativebinomial']:
raise SpecificationError, """the ordered model formulations """\
""" supported are poisson and negativebinomial specification"""
def __init__(self, choices, coefficients, thresholds, distribution=None):
self.thresholds = thresholds
Specification.__init__(self, choices, coefficients)
if distribution is None:
self.distribution = 'logit'
else:
self.distribution = distribution
checkVal, checkText = self.check_text_only([self.distribution])
if not checkVal:
raise SpecificationError, """the distribution specification is not """\
"""a valid string"""
if self.distribution not in ['logit', 'probit']:
raise SpecificationError, """the ordered model formulations """\
"""supported are probit and logit specification"""
