smtbx.absolute_structure
index
/net/chevy/raid1/nat/src/cctbx_project/smtbx/absolute_structure/__init__.py

 
Package Contents
       

 
Classes
       
__builtin__.object
bijvoet_differences_probability_plot
flack_analysis
hooft_analysis
students_t_hooft_analysis

 
class bijvoet_differences_probability_plot(__builtin__.object)
    Hooft, R.W.W., Straver, L.H., Spek, A.L. (2010). J. Appl. Cryst., 43, 665-668.
 
  Methods defined here:
__init__(self, hooft_analysis, use_students_t_distribution=False, students_t_nu=None, probability_plot_slope=None)
show(self, out=None)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

 
class flack_analysis(__builtin__.object)
     Methods defined here:
__init__(self, xray_structure, obs_, exti=None, connectivity_table=None)
show(self, out=None)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

 
class hooft_analysis(__builtin__.object)
    Determination of absolute structure using Bayesian statistics
on Bijvoet differences.
 
See:
  Hooft, R.W.W., Straver, L.H., Spek, A.L. (2008). J. Appl. Cryst., 41, 96-103.
 
  Hooft, R.W.W., Straver, L.H., Spek, A.L. (2009). Acta Crystallogr. A65, 319-321.
 
  Hooft, R.W.W., Straver, L.H., Spek, A.L. (2010). J. Appl. Cryst., 43, 665-668.
 
and for more information:
  http://www.absolutestructure.com/bibliography.html
 
  Methods defined here:
__init__(self, fo2, fc, scale_factor=None, outlier_cutoff_factor=None, probability_plot_slope=None)
log_p_obs_given_gamma(self, gamma)
show(self, out=None)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

Data and other attributes defined here:
distribution = 'Gaussian'

 
class students_t_hooft_analysis(hooft_analysis)
    Hooft, R.W.W., Straver, L.H., Spek, A.L. (2010). J. Appl. Cryst., 43, 665-668.
 
 
Method resolution order:
students_t_hooft_analysis
hooft_analysis
__builtin__.object

Methods defined here:
__init__(self, fo2, fc, degrees_of_freedom, scale_factor=None, outlier_cutoff_factor=None, probability_plot_slope=None)
log_p_obs_given_gamma(self, gamma)

Data and other attributes defined here:
distribution = "Student's t"

Methods inherited from hooft_analysis:
show(self, out=None)

Data descriptors inherited from hooft_analysis:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

 
Functions
       
maximise_students_t_correlation_coefficient(observed_deviations, min_nu, max_nu)

 
Data
        division = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)