Prototypes
void	LALInferenceInitCBCPrior (LALInferenceRunState *runState)
	Initialize the prior based on command line arguments. More...

void	LALInferenceInitLIBPrior (LALInferenceRunState *runState)
	Initialize the LIB prior based on command line arguments. More...

REAL8	logGlitchAmplitudeDensity (REAL8 A, REAL8 Q, REAL8 f)
	Return the log Prior for the glitch amplitude. More...

REAL8	LALInferenceInspiralPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel *model)
	Return the logarithmic prior density of the variables specified, for the non-spinning/spinning inspiral signal case. More...

UINT4	LALInferenceInspiralCubeToPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel model, double Cube, void *context)
	Convert the hypercube parameter to physical parameters, for the non-spinning/spinning inspiral signal case. More...

void	LALInferenceCyclicReflectiveBound (LALInferenceVariables parameter, LALInferenceVariables priorArgs)
	Apply cyclic and reflective boundaries to `parameter` to bring it back within the allowed prior ranges that are specified in `priorArgs`. More...

void	LALInferenceRotateInitialPhase (LALInferenceVariables *parameter)
	Rotate initial phase if polarisation angle is cyclic around ranges. More...

REAL8	LALInferenceInspiralSkyLocPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel *model)
	Return the logarithmic prior density of the variables as specified for the sky localisation project (see: https://www.lsc-group.phys.uwm.edu/ligovirgo/cbcnote/SkyLocComparison#priors ), for the non-spinning/spinning inspiral signal case. More...

UINT4	LALInferenceInspiralSkyLocCubeToPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel model, double Cube, void *context)
	Convert the hypercube parameter to physical parameters, for the prior density of the variables as specified for the sky localisation project (see: https://www.lsc-group.phys.uwm.edu/ligovirgo/cbcnote/SkyLocComparison#priors ), for the non-spinning/spinning inspiral signal case. More...

void	LALInferenceAddMinMaxPrior (LALInferenceVariables priorArgs, const char name, REAL8 min, REAL8 max, LALInferenceVariableType type)
	Function to add the minimum and maximum values for the uniform prior onto the `priorArgs`. More...

void	LALInferenceGetMinMaxPrior (LALInferenceVariables priorArgs, const char name, REAL8 min, REAL8 max)
	Get the minimum and maximum values of the uniform prior from the `priorArgs` list, given a name. More...

void	LALInferenceRemoveMinMaxPrior (LALInferenceVariables priorArgs, const char name)
	Function to remove the minimum and maximum values for the uniform prior onto the `priorArgs`. More...

void	LALInferenceAddGaussianPrior (LALInferenceVariables priorArgs, const char name, REAL8 mu, REAL8 sigma, LALInferenceVariableType type)
	Function to add the mu and sigma values for the Gaussian prior onto the `priorArgs`. More...

void	LALInferenceGetGaussianPrior (LALInferenceVariables priorArgs, const char name, REAL8 mu, REAL8 sigma)
	Get the mu and sigma values of the Gaussian prior from the `priorArgs` list, given a name. More...

void	LALInferenceRemoveGaussianPrior (LALInferenceVariables priorArgs, const char name)
	Function to remove the mu and sigma values for the Gaussian prior onto the `priorArgs`. More...

void	LALInferenceAddGMMPrior (LALInferenceVariables priorArgs, const char name, REAL8Vector *mus, gsl_matrix covs, REAL8Vector weights, REAL8Vector minrange, REAL8Vector *maxrange)
	Add a Gaussian Mixture Model prior. More...

int	LALInferenceCheckGMMPrior (LALInferenceVariables priorArgs, const char name)
	Check for a Gaussian Mixture Model prior. More...

void	LALInferenceRemoveGMMPrior (LALInferenceVariables priorArgs, const char name)
	Remove a Gaussian Mixture Model prior. More...

void	LALInferenceGetGMMPrior (LALInferenceVariables priorArgs, const char name, REAL8Vector *mus, REAL8Vector sigmas, gsl_matrix cors, gsl_matrix invcors, REAL8Vector weights, REAL8Vector minrange, REAL8Vector maxrange, REAL8Vector dets, UINT4 idx, CHAR **fullname)
	Get the parameters defining a Gaussian Mixture Model prior. More...

void	LALInferenceAddLogUniformPrior (LALInferenceVariables priorArgs, const char name, REAL8 xmin, REAL8 xmax, LALInferenceVariableType type)
	Add a log-uniform prior. More...

void	LALInferenceGetLogUniformPrior (LALInferenceVariables priorArgs, const char name, REAL8 xmin, REAL8 xmax)
	Get the xmin and xmax values of the log-uniform prior from the `priorArgs` list, given a name. More...

void	LALInferenceRemoveLogUniformPrior (LALInferenceVariables priorArgs, const char name)
	Function to remove the min and max values for the log-uniform prior from the `priorArgs`. More...

void	LALInferenceAddFermiDiracPrior (LALInferenceVariables priorArgs, const char name, REAL8 sigma, REAL8 r, LALInferenceVariableType type)
	Add a Fermi-Dirac prior. More...

void	LALInferenceGetFermiDiracPrior (LALInferenceVariables priorArgs, const char name, REAL8 sigma, REAL8 r)
	Get the r and sigma values of the Fermi-Dirac prior from the `priorArgs` list, given a name. More...

void	LALInferenceRemoveFermiDiracPrior (LALInferenceVariables priorArgs, const char name)
	Function to remove the r and sigma values for the Fermi-Dirac prior onto the `priorArgs`. More...

int	LALInferenceCheckMinMaxPrior (LALInferenceVariables priorArgs, const char name)
	Check for types of standard prior. More...

int	LALInferenceCheckGaussianPrior (LALInferenceVariables priorArgs, const char name)
	Check for a Gaussian prior (with a mean and variance) More...

int	LALInferenceCheckLogUniformPrior (LALInferenceVariables priorArgs, const char name)
	Check for a log-uniform prior (with xmin and xmax parameters) More...

int	LALInferenceCheckFermiDiracPrior (LALInferenceVariables priorArgs, const char name)
	Check for a Fermi-Dirac prior (with a r and sigma parameter) More...

void	LALInferenceAddCorrelatedPrior (LALInferenceVariables priorArgs, const char name, gsl_matrix *cor, REAL8 mu, REAL8 sigma, UINT4 idx)
	Function to add a correlation matrix and parameter index for a prior defined as part of a multivariate Gaussian distribution onto the `priorArgs`. More...

void	LALInferenceGetCorrelatedPrior (LALInferenceVariables priorArgs, const char name, gsl_matrix cor, gsl_matrix invcor, REAL8 mu, REAL8 sigma, UINT4 *idx)
	Get the correlation coefficient matrix and index for a parameter from the `priorArgs` list. More...

void	LALInferenceRemoveCorrelatedPrior (LALInferenceVariables *priorArgs)
	Remove the correlation coefficient matrix and index for a parameter from the `priorArgs` list. More...

int	LALInferenceCheckCorrelatedPrior (LALInferenceVariables priorArgs, const char name)
	Check for the existance of a correlation coefficient matrix and index for a parameter from the `priorArgs` list. More...

void	LALInferenceDrawFromPrior (LALInferenceVariables output, LALInferenceVariables priorArgs, gsl_rng *rdm)
	Draw variables from the prior ranges. More...

void	LALInferenceDrawNameFromPrior (LALInferenceVariables output, LALInferenceVariables priorArgs, char name, LALInferenceVariableType type, gsl_rng rdm)
	Draw an individual variable from its prior range. More...

UINT4	within_malmquist (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel *model)

REAL8	LALInferenceAnalyticNullPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel *model)
	Prior that is 1 everywhere in component mass space. More...

UINT4	LALInferenceAnalyticCubeToPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel model, double Cube, void *context)
	Analytic null prior converted from hypercube. More...

REAL8	LALInferenceNullPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel *model)
	Prior that is 1 everywhere. More...

REAL8	LALInferenceComputePriorMassNorm (const double MMin, const double MMax, const double MTotMax, const double McMin, const double McMax, const double massRatioMin, const double massRatioMax, const char *massRatioName)
	Computes the numerical normalization of the mass prior $p(\mathcal{M}) \sim \mathcal{M}^{-11/6}$ applying all cuts in the mass plane implied by the various component, total, and chirp mass limits, and the mass ratio limits. More...

REAL8	LALInferenceFlatBoundedPrior (LALInferenceRunState runState, LALInferenceVariables params)
	Prior that checks for minimum and maximum prior range specified in runState->priorArgs and returns 0.0 if sample lies inside the boundaries, -DBL_MAX otherwise. More...

UINT4	LALInferenceCubeToPSDScaleParams (LALInferenceVariables priorParams, LALInferenceVariables params, INT4 idx, double Cube, void *context)
	Utility CubeToPrior functions for psd-fit and both calibration models. More...

UINT4	LALInferenceCubeToConstantCalibrationPrior (LALInferenceRunState runState, LALInferenceVariables params, INT4 idx, double Cube, void *context)

REAL8	LALInferenceCubeToFlatPrior (double r, double x1, double x2)
	Prior that converts from a Cube parameter in [0,1] to the flat prior bounded by x1 and x2. More...

REAL8	LALInferenceCubeToLogFlatPrior (double r, double x1, double x2)
	Prior that converts from a Cube parameter in [0,1] to the flat in log prior bounded by x1 and x2. More...

REAL8	LALInferenceCubeToPowerPrior (double p, double r, double x1, double x2)
	Prior that converts from a Cube parameter in [0,1] to the power prior bounded by x1 and x2 with power p. More...

REAL8	LALInferenceCubeToGaussianPrior (double r, double mean, double sigma)
	Prior that converts from a Cube parameter in [0,1] to the Gaussian prior with given mean and standard deviation. More...

REAL8	LALInferenceCubeToSinPrior (double r, double x1, double x2)
	Prior that converts from a Cube parameter in [0,1] to the sine prior with given min (x1) and max (x2) values. More...

REAL8	LALInferenceSineGaussianPrior (LALInferenceRunState runState, LALInferenceVariables params, LALInferenceModel *model)

REAL8	LALInferenceFermiDiracPrior (LALInferenceVariables priorArgs, const char name, REAL8 value)
	Return the Fermi-Dirac distribution log prior. More...

REAL8	LALInferenceGMMPrior (LALInferenceVariables priorArgs, const char name, REAL8 value)
	Calculate the log probability for the Gaussian Mixture Model prior. More...

REAL8	LALInferenceLogUniformPrior (LALInferenceVariables priorArgs, const char name, REAL8 value)

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Prototypes