Multiplicative parameter expansion for PC regression. More...

#include <MuGen.h>

Inheritance diagram for BetaGrpPCpex:

Collaboration diagram for BetaGrpPCpex:

Public Member Functions
	BetaGrpPCpex ()
	Default constructor.

	BetaGrpPCpex (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, const double &Spr, RanIndex &up, const int &nThr)
	Constructor with a prior index. More...

	BetaGrpPCpex (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, const double &Spr, RanIndex &low, RanIndex &up, const int &nThr)
	Constructor with a prior index and replication. More...

	BetaGrpPCpex (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, const double &Spr, RanIndex &up, const string &outFlNam, const int &nThr)
	Constructor with a prior index, replication and output file name. More...

	BetaGrpPCpex (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, const double &Spr, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Constructor with a prior index and replication. More...

	~BetaGrpPCpex ()
	Destructor.

const gsl_matrix *	fMat () const
	Access adjusted fitted value matrix. More...

void	save ()
	Save adjusted values. More...

void	save (const string &outFlNam)
	Save adjusted values to named file. More...

void	save (const SigmaI &SigI)
	Save adjusted values with the adjusted covariance matrix. More...

void	update (const Grp &dat, const SigmaI &SigIm, const SigmaI &SigIp)
	Gaussian likelihood, 0-mean Gaussian prior. More...

void	update (const Grp &dat, const Qgrp &q, const SigmaI &SigIm, const SigmaI &SigIp)
	Student- \(t\) likelihood, 0-mean Gaussian prior. More...

void	update (const Grp &dat, const SigmaI &SigIm, const Qgrp &qPr, const SigmaI &SigIp)
	Gaussian likelihood, 0-mean Student- \(t\) prior. More...

void	update (const Grp &dat, const Qgrp &q, const SigmaI &SigIm, const Qgrp &qPr, const SigmaI &SigIp)
	Student- \(t\) likelihood, 0-mean Student- \(t\) prior. More...

void	update (const Grp &dat, const SigmaI &SigIm, const Grp &muPr, const SigmaI &SigIp)
	Gaussian likelihood, non-zero mean Gaussian prior. More...

void	update (const Grp &dat, const Qgrp &q, const SigmaI &SigIm, const Grp &muPr, const SigmaI &SigIp)
	Student- \(t\) likelihood, non-zero mean Gaussian prior. More...

void	update (const Grp &dat, const SigmaI &SigIm, const Grp &muPr, const Qgrp &qPr, const SigmaI &SigIp)
	Gaussian likelihood, non-zero mean Student- \(t\) prior. More...

void	update (const Grp &dat, const Qgrp &q, const SigmaI &SigIm, const Grp &muPr, const Qgrp &qPr, const SigmaI &SigIp)
	Student- \(t\) likelihood, non-zero mean Student- \(t\) prior. More...

Public Member Functions inherited from BetaGrpPC
	BetaGrpPC ()
	Default constructor.

	BetaGrpPC (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, RanIndex &up, const int &nThr)
	Constructor with a prior index. More...

	BetaGrpPC (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, RanIndex &low, RanIndex &up, const int &nThr)
	Constructor with a prior index and replication. More...

	BetaGrpPC (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, RanIndex &up, const string &outFlNam, const int &nThr)
	Constructor with a prior index, replication and output file name. More...

	BetaGrpPC (const Grp &rsp, const string &predFlNam, const string &evFlNam, const size_t &Npred, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Constructor with a prior index and replication. More...

virtual	~BetaGrpPC ()
	Destructor.

	BetaGrpPC (const BetaGrpPC &mG)
	Copy constructor. More...

BetaGrpPC &	operator= (const BetaGrpPC &mG)
	Assignment operator. More...

Public Member Functions inherited from BetaGrpFt
	BetaGrpFt ()
	Default constructor.

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const int &nThr)
	Simple constructor. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, RanIndex &up, const int &nThr)
	Simple constructor with a prior index. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, RanIndex &low, RanIndex &up, const int &nThr)
	Simple constructor with a prior index and replication. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const string &outFlNam, const int &nThr)
	Simple constructor with output file name. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, RanIndex &up, const string &outFlNam, const int &nThr)
	Simple constructor with a prior index and output file name. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Simple constructor with a prior index, replication and output file name. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &absLab, const int &nThr)
	Missing data constructor. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &absLab, RanIndex &up, const int &nThr)
	Missing data constructor with a prior index. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &absLab, RanIndex &low, RanIndex &up, const int &nThr)
	Missing data constructor with a prior index and replication. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &absLab, const string &outFlNam, const int &nThr)
	Missing data constructor with output file name. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &absLab, RanIndex &up, const string &outFlNam, const int &nThr)
	Missing data constructor with a prior index and output file name. More...

	BetaGrpFt (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &absLab, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Missing data constructor with a prior index, replication and output file name. More...

	BetaGrpFt (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Nmul, const double &rSqMax, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor. More...

	BetaGrpFt (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Nmul, const double &rSqMax, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor with replication. More...

	BetaGrpFt (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Nmul, const double &rSqMax, const double &absLab, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor with missing predictor data. More...

	BetaGrpFt (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Nmul, const double &rSqMax, const double &absLab, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor with missing predictor data and replication. More...

virtual	~BetaGrpFt ()
	Destructor.

	BetaGrpFt (const BetaGrpFt &mG)
	Copy constructor. More...

BetaGrpFt &	operator= (const BetaGrpFt &mG)
	Assignment operator. More...

void	dump ()
	Dump to a file. More...

double	lnOddsRat (const Grp &y, const SigmaI &SigI, const size_t i) const
	Log-odds ratio. More...

void	update (const Grp &dat, const SigmaI &SigIm)
	Gaussian likelihood, improper prior. More...

void	update (const Grp &dat, const Qgrp &q, const SigmaI &SigIm)
	Student- \(t\) likelihood, improper prior. More...

Public Member Functions inherited from Grp
virtual	~Grp ()
	Destructor.

virtual void	save (const string &outMuFlNam, const string &outSigFlNam, const SigmaI &SigI)
	Joint save. More...

virtual void	save (const Grp &y, const SigmaI &SigI)
	Save with data and inverse-covariance. More...

void	mhlSave (const string &outFlNam, const SigmaI SigI)
	Save Mahalanobis distance. More...

const vector< MVnorm * > &	dataVec () const
	Get vector of row pointers. More...

virtual const gsl_matrix *	dMat () const
	Access the value matrix. More...

const size_t	Ndata () const
	Get number of rows. More...

const size_t	phenD () const
	Get number of traits. More...

const MVnorm *	operator[] (const size_t i) const
	Subscript operator. More...

MVnorm *	operator[] (const size_t i)
	Subscript operator. More...

virtual MuGrp	mean (RanIndex &grp)
	Group mean. More...

virtual const MuGrp	mean (RanIndex &grp) const
	Group mean. More...

virtual MuGrp	mean (RanIndex &grp, const Qgrp &q)
	Group weighted mean. More...

virtual const MuGrp	mean (RanIndex &grp, const Qgrp &q) const
	Group weighted mean. More...

void	center ()
	Center the value matrix. More...

Public Member Functions inherited from BetaGrpPEX
	BetaGrpPEX ()
	Default constructor.

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, RanIndex &up, const int &nThr)
	Simple constructor with a prior index. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, RanIndex &low, RanIndex &up, const int &nThr)
	Simple constructor with a prior index and replication. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, RanIndex &up, const string &outFlNam, const int &nThr)
	Simple constructor with a prior index and output file name. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Simple constructor with a prior index, replication and output file name. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, const double &absLab, RanIndex &up, const int &nThr)
	Missing data constructor with a prior index. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, const double &absLab, RanIndex &low, RanIndex &up, const int &nThr)
	Missing data constructor with a prior index and replication. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, const double &absLab, RanIndex &up, const string &outFlNam, const int &nThr)
	Missing data constructor with a prior index and output file name. More...

	BetaGrpPEX (const Grp &rsp, const string &predFlNam, const size_t &Npred, const double &Spr, const double &absLab, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Missing data constructor with a prior index, replication and output file name. More...

	BetaGrpPEX (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Spr, const double &Nmul, const double &rSqMax, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor. More...

	BetaGrpPEX (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Spr, const double &Nmul, const double &rSqMax, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor with replication. More...

	BetaGrpPEX (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Spr, const double &Nmul, const double &rSqMax, const double &absLab, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor with missing predictor data. More...

	BetaGrpPEX (const Grp &rsp, const SigmaI &SigI, const string &predFlNam, const size_t &Npred, const double &Spr, const double &Nmul, const double &rSqMax, const double &absLab, RanIndex &low, RanIndex &up, const string &outFlNam, const int &nThr)
	Selection constructor with missing predictor data and replication. More...

virtual	~BetaGrpPEX ()
	Destructor.

Additional Inherited Members
Protected Member Functions inherited from BetaGrpFt
virtual void	_updateFitted ()
	Update fitted values.

void	_rankPred (const gsl_matrix y, const SigmaI &SigI, gsl_vector XtX, gsl_permutation *prm)
	Rank predictors. More...

void	_rankPred (const gsl_matrix y, const SigmaI &SigI, const double &absLab, gsl_vector XtX, gsl_permutation *prm)
	Rank predictors with missing data. More...

void	_ldToss (const gsl_vector var, const gsl_permutation prm, const double &rSqMax, const size_t &Npck, vector< vector< size_t > > &idx, vector< vector< size_t > > &rLd, gsl_matrix *Xpck)
	Testing candidates for correlation. More...

virtual double	_MGkernel (const Grp &dat, const SigmaI &SigI) const
	Gaussian kernel. More...

virtual double	_MGkernel (const Grp &dat, const SigmaI &SigI, const size_t &prInd) const
	Gaussian kernel dropping one predictor. More...

Protected Member Functions inherited from Grp
	Grp ()

Protected Member Functions inherited from BetaGrpPEX
void	_finishConstruct (const double &Spr)
	Finish construction. More...

void	_finishFitted ()
	Adjusted matrix calculation. More...

void	_updateAfitted ()
	Calculate redundant parameter fitted values. More...

	BetaGrpPEX (const double &Spr)
	Finishing constructor. More...

Protected Attributes inherited from BetaGrpFt
vector< vector< double > >	_fittedEach
	Partial fitted value matrices. More...

gsl_matrix *	_fittedAll
	Matrix of fitted values. More...

gsl_matrix *	_valueSum
	Sample storage matrix. More...

gsl_matrix *	_Xmat
	Predictor matrix. More...

int	_nThr
	Number of threads.

double	_numSaves
	Number of saves. More...

Protected Attributes inherited from Grp
vector< MVnorm * >	_theta
	Vector of pointers to value rows. More...

gsl_matrix *	_valueMat
	Value matrix. More...

RanIndex *	_lowLevel
	Lower level index. More...

RanIndex *	_upLevel
	Upper level index. More...

vector< gsl_rng * >	_rV
	Vector of PNG pointers. More...

string	_outFlNam
	Name of the output file.

Protected Attributes inherited from BetaGrpPEX
gsl_matrix *	_tSigIAt
	Scaled inverse-covariance. More...

Apex	_A
	Multiplicative redundant parameter.

vector< vector< double > >	_ftA
	Fitted values. More...

gsl_matrix *	_fittedAllAdj
	Adjusted fitted matrix. More...

Detailed Description

Multiplicative parameter expansion for PC regression.

Brings together implementations from BetaGrpPC and BetaGrpPEX.

Constructor & Destructor Documentation

◆ BetaGrpPCpex() [1/4]

BetaGrpPCpex::BetaGrpPCpex	(	const Grp &	rsp,
		const string &	predFlNam,
		const string &	evFlNam,
		const size_t &	Npred,
		const double &	Spr,
		RanIndex &	up,
		const int &	nThr
	)

inline

Constructor with a prior index.

Reads principal vectors and eigen-values from files. Number of rows of the predictor is equal to the number of rows in the response (no replication).

Parameters

[in]	Grp&	data for initialization
[in]	string&	PC vector file name
[in]	string&	eigen-value file name
[in]	size_t&	number of predictors
[in]	double&	prior inverse variance for \( \boldsymbol{A} \)
[in]	RanIndex&	prior index
[in]	int&	number of threads

◆ BetaGrpPCpex() [2/4]

BetaGrpPCpex::BetaGrpPCpex	(	const Grp &	rsp,
		const string &	predFlNam,
		const string &	evFlNam,
		const size_t &	Npred,
		const double &	Spr,
		RanIndex &	low,
		RanIndex &	up,
		const int &	nThr
	)

inline

Constructor with a prior index and replication.

Reads principal vectors and eigen-values from files. Number of rows of the predictor is equal to the number of groups in the lower (data) index. The number of rows in the response is equal to the number of elements in the low index.

Parameters

[in]	Grp&	data for initialization
[in]	string&	PC vector file name
[in]	string&	eigen-value file name
[in]	size_t&	number of predictors
[in]	double&	prior inverse variance for \( \boldsymbol{A} \)
[in]	RanIndex&	lower-level (replicate) index
[in]	RanIndex&	prior index
[in]	int&	number of threads

◆ BetaGrpPCpex() [3/4]

BetaGrpPCpex::BetaGrpPCpex	(	const Grp &	rsp,
		const string &	predFlNam,
		const string &	evFlNam,
		const size_t &	Npred,
		const double &	Spr,
		RanIndex &	up,
		const string &	outFlNam,
		const int &	nThr
	)

inline

Constructor with a prior index, replication and output file name.

Reads principal vectors and eigen-values from files. Number of rows of the predictor is equal to the number of groups in the lower (data) index. The number of rows in the response is equal to the number of elements in the low index.

Parameters

[in]	Grp&	data for initialization
[in]	string&	PC vector file name
[in]	string&	eigen-value file name
[in]	size_t&	number of predictors
[in]	double&	prior inverse variance for \( \boldsymbol{A} \)
[in]	RanIndex&	lower-level (replicate) index
[in]	RanIndex&	prior index
[in]	string&	output file name
[in]	int&	number of threads

◆ BetaGrpPCpex() [4/4]

BetaGrpPCpex::BetaGrpPCpex	(	const Grp &	rsp,
		const string &	predFlNam,
		const string &	evFlNam,
		const size_t &	Npred,
		const double &	Spr,
		RanIndex &	low,
		RanIndex &	up,
		const string &	outFlNam,
		const int &	nThr
	)

inline

Constructor with a prior index and replication.

Reads principal vectors and eigen-values from files. Number of rows of the predictor is equal to the number of groups in the lower (data) index. The number of rows in the response is equal to the number of elements in the low index.

Parameters

[in]	Grp&	data for initialization
[in]	string&	PC vector file name
[in]	string&	eigen-value file name
[in]	size_t&	number of predictors
[in]	double&	prior inverse variance for \( \boldsymbol{A} \)
[in]	RanIndex&	lower-level (replicate) index
[in]	RanIndex&	prior index
[in]	string&	output file name
[in]	int&	number of threads

Member Function Documentation

◆ fMat()

const gsl_matrix* BetaGrpPCpex::fMat ( ) const

inlinevirtual

Access adjusted fitted value matrix.

Returns: gsl_matrix* pointer to the adjusted-value fitted matrix

Reimplemented from BetaGrpPEX.

◆ save() [1/3]

void BetaGrpPCpex::save ( )

inlinevirtual

Save adjusted values.

Appends the current adjusted mean values to the file whose name was set during construction.

Reimplemented from BetaGrpPEX.

◆ save() [2/3]

void BetaGrpPCpex::save ( const SigmaI & SigI )

inlinevirtual

Save adjusted values with the adjusted covariance matrix.

Appends the current adjusted mean values and prior covariance matrix to the files whose names were set during construction.

Reimplemented from BetaGrpPEX.

◆ save() [3/3]

void BetaGrpPCpex::save ( const string & outFlNam )

inlinevirtual

Save adjusted values to named file.

Appends the current adjusted mean values to the named file.

Parameters

[in] string& file name

Reimplemented from BetaGrpPEX.

◆ update() [1/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const Qgrp &	,
		const SigmaI &	,
		const Grp &	,
		const Qgrp &	,
		const SigmaI &
	)

inlinevirtual

Student- \(t\) likelihood, non-zero mean Student- \(t\) prior.

For the relationship to work properly, the _upLevel index of the focal object has to point to the rows of the prior mean matrix. This is the matrix addressed by dMat(). The relationship to the data is dependent on the derived class.

Parameters

[in]	Grp&	data
[in]	Qgrp&	Student- \(t\) weight parameter for the data
[in]	SigmaI&	data inverse-covariance
[in]	Grp&	prior mean
[in]	Qgrp&	Student- \(t\) weight parameter for the prior
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [2/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const Qgrp &	,
		const SigmaI &	,
		const Grp &	,
		const SigmaI &
	)

inlinevirtual

Student- \(t\) likelihood, non-zero mean Gaussian prior.

For the relationship to work properly, the _upLevel index of the focal object has to point to the rows of the prior mean matrix. This is the matrix addressed by dMat(). The relationship to the data is dependent on the derived class.

Parameters

[in]	Grp&	data
[in]	Qgrp&	Student- \(t\) weight parameter for the data
[in]	SigmaI&	data inverse-covariance
[in]	Grp&	prior mean
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [3/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const Qgrp &	,
		const SigmaI &	,
		const Qgrp &	,
		const SigmaI &
	)

inlinevirtual

Student- \(t\) likelihood, 0-mean Student- \(t\) prior.

Parameters

[in]	Grp&	data
[in]	Qgrp&	Student- \(t\) weight parameter for the data
[in]	SigmaI&	data inverse-covariance
[in]	Qgrp&	Student- \(t\) weight parameter for the prior
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [4/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const Qgrp &	,
		const SigmaI &	,
		const SigmaI &
	)

inlinevirtual

Student- \(t\) likelihood, 0-mean Gaussian prior.

Parameters

[in]	Grp&	data
[in]	Qgrp&	Student- \(t\) weight parameter for data
[in]	SigmaI&	data inverse-covariance
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [5/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const SigmaI &	,
		const Grp &	,
		const Qgrp &	,
		const SigmaI &
	)

inlinevirtual

Gaussian likelihood, non-zero mean Student- \(t\) prior.

For the relationship to work properly, the _upLevel index of the focal object has to point to the rows of the prior mean matrix. This is the matrix addressed by dMat(). The relationship to the data is dependent on the derived class.

Parameters

[in]	Grp&	data
[in]	SigmaI&	data inverse-covariance
[in]	Grp&	prior mean
[in]	Qgrp&	Student- \(t\) weight parameter for the prior
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [6/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const SigmaI &	,
		const Grp &	,
		const SigmaI &
	)

inlinevirtual

Gaussian likelihood, non-zero mean Gaussian prior.

For the relationship to work properly, the _upLevel index of the focal object has to point to the rows of the prior mean matrix. This is the matrix addressed by dMat(). The relationship to the data is dependent on the derived class.

Parameters

[in]	Grp&	data
[in]	SigmaI&	data inverse-covariance
[in]	Grp&	prior mean
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [7/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const SigmaI &	,
		const Qgrp &	,
		const SigmaI &
	)

inlinevirtual

Gaussian likelihood, 0-mean Student- \(t\) prior.

Parameters

[in]	Grp&	data
[in]	SigmaI&	data inverse-covariance
[in]	Qgrp&	Student- \(t\) weight parameter for the prior
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

◆ update() [8/8]

void BetaGrpPCpex::update	(	const Grp &	,
		const SigmaI &	,
		const SigmaI &
	)

inlinevirtual

Gaussian likelihood, 0-mean Gaussian prior.

Parameters

[in]	Grp&	data
[in]	SigmaI&	data inverse-covariance
[in]	SigmaI&	prior inverse-covariance

Reimplemented from BetaGrpPEX.

The documentation for this class was generated from the following file:

MuGen.h

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ BetaGrpPCpex() [1/4]

◆ BetaGrpPCpex() [2/4]

◆ BetaGrpPCpex() [3/4]

◆ BetaGrpPCpex() [4/4]

Member Function Documentation

◆ fMat()

◆ save() [1/3]

◆ save() [2/3]

◆ save() [3/3]

◆ update() [1/8]

◆ update() [2/8]

◆ update() [3/8]

◆ update() [4/8]

◆ update() [5/8]

◆ update() [6/8]

◆ update() [7/8]

◆ update() [8/8]