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IMP Reference Guide  2.14.0
The Integrative Modeling Platform
isd.h
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1 /**
2  * \file IMP/isd.h
3  * \brief Include all non-deprecated headers in IMP.isd.
4  *
5  * Copyright 2007-2020 IMP Inventors. All rights reserved.
6  */
7 
8 #ifndef IMP_ISD_H
9 #define IMP_ISD_H
13 #include <IMP/isd/CrossLinkData.h>
17 #include <IMP/isd/FNormal.h>
18 #include <IMP/isd/FStudentT.h>
19 #include <IMP/isd/FretData.h>
20 #include <IMP/isd/FretRestraint.h>
21 #include <IMP/isd/GammaPrior.h>
28 #include <IMP/isd/ISDRestraint.h>
30 #include <IMP/isd/LogWrapper.h>
38 #include <IMP/isd/NOERestraint.h>
40 #include <IMP/isd/Nuisance.h>
43 #include <IMP/isd/Scale.h>
45 #include <IMP/isd/Switching.h>
46 #include <IMP/isd/TALOSRestraint.h>
47 #include <IMP/isd/UniformPrior.h>
48 #include <IMP/isd/Weight.h>
49 #include <IMP/isd/WeightMover.h>
52 #include <IMP/isd/distribution.h>
53 #include <IMP/isd/em_utilities.h>
55 #include <IMP/isd/vonMises.h>
59 #endif /* IMP_ISD_H */
Normal distribution of Function.
Jeffreys prior for in the von Mises distribution.
A restraint on a scale parameter.
Normal distribution of Function.
Normal distribution of Function.
Normal distribution of Function.
A Penalized Complexity prior on sigma of a normal distribution.
A pmf based likelihood function with prior knowledge on the false positive rate.
A lognormal restraint that uses the ISPA model to model NOE-derived distance fit. ...
A lognormal restraint that uses the ISPA model to model HBond-derived distance fit.
An implementation of the d-norm to make an ambiguous restraint.
A restraint on a scale parameter.
Common scoring functions.
A decorator for switching parameters particles.
A decorator for scale parameters particles.
A modifier which perturbs XYZs or Nuisances with a constant energy MD simulation. ...
A pmf based likelihood function with prior knowledge on the false positive rate.
Simple molecular dynamics optimizer.
A decorator for nuisance parameters particles.
Classes for general functions.
Normal distribution of Function.
Normal distribution of Function.
Normal distribution of Function.
A hybrid monte carlo implementation.
Penalized complexity prior.
A mover that perturbs a Weight particle.
A lognormal restraint that uses the ISPA model to model NOE-derived distance fit. ...
A sigmoid shaped restraint between residues with discrete classifier and ambiguous assignment...
A lognormal restraint that uses the ISPA model to model NOE-derived distance fit. ...
Put description here.
Base class for probability distributions.
A lognormal restraint that uses the ISPA model to model NOE-derived distance fit. ...
Add weights constrained to the unit simplex to a particle.
FRET_R restraint to use in vivo FRET data.
Restrain two sets of Gaussians (model and GMM derived from EM map)
A restraint on a scale parameter.
Restraint between two sets of anchor points "model" and "EM density".
A sigmoid shaped restraint between residues with discrete classifier and ambiguous assignment...
TALOS dihedral restraint between four particles.
Restraint and ScoreState for GaussianProcessInterpolation.
A lognormal restraint that uses the ISPA model to model NOE-derived distance fit. ...
A simple quadric repulsive term between two atoms. Restraint is zero when the distance equals the sum...
Joint Student's t-distribution of Function.
Auxiliary class useful for FRET_R restraint.
Calculate the -Log of a list of restraints.
Classes for general functions.
A Student-t distribution restraint.
Conjugate prior for in the von Mises distribution.