NcmDataGaussCov: NumCosmo Reference Manual

NcmDataGaussCov

NcmDataGaussCov — Gaussian data -- covariance provided.

Functions

void	ncm_data_gauss_cov_set_size ()
guint	ncm_data_gauss_cov_get_size ()
void	ncm_data_gauss_cov_use_norma ()
void	ncm_data_gauss_cov_replace_mean ()
NcmVector *	ncm_data_gauss_cov_peek_mean ()
NcmMatrix *	ncm_data_gauss_cov_peek_cov ()
gdouble	ncm_data_gauss_cov_get_log_norma ()
void	ncm_data_gauss_cov_bulk_resample ()

Properties

NcmMatrix *	cov	Read / Write
NcmVector *	mean	Read / Write
guint	n-points	Read / Write / Construct
gboolean	use-norma	Read / Write

Types and Values

#define	NCM_TYPE_DATA_GAUSS_COV
struct	NcmDataGaussCovClass
	NcmDataGaussCov

Object Hierarchy

    GObject
    ╰── NcmData
        ╰── NcmDataGaussCov
            ├── NcDataBaoDHrDAr
            ├── NcDataBaoDMrHr
            ├── NcDataBaoDtrDHr
            ├── NcDataSNIACov
            ├── NcDataXcor
            ╰── NcmDataGaussCovMVND

Description

Generic gaussian distribution which uses the covariance matrix as input.

Functions

ncm_data_gauss_cov_set_size ()

void
ncm_data_gauss_cov_set_size (NcmDataGaussCov *gauss,
                             guint np);

Sets the data size to np .

[virtual set_size]

Parameters

gauss	a NcmDataGaussCov
np	data size.

ncm_data_gauss_cov_get_size ()

guint
ncm_data_gauss_cov_get_size (NcmDataGaussCov *gauss);

Gets the data size.

[virtual get_size]

Parameters

gauss

a NcmDataGaussCov

Returns

Data size.

ncm_data_gauss_cov_use_norma ()

void
ncm_data_gauss_cov_use_norma (NcmDataGaussCov *gauss,
                              gboolean use_norma);

Sets whether the value of $-2\ln(L)$ will be properly normalized.

Parameters

gauss	a NcmDataGaussCov
use_norma	a boolean

ncm_data_gauss_cov_replace_mean ()

void
ncm_data_gauss_cov_replace_mean (NcmDataGaussCov *gauss,
                                 NcmVector *mean);

Replaces the current mean vector for mean .

Parameters

gauss	a NcmDataGaussCov
mean	new mean NcmVector

ncm_data_gauss_cov_peek_mean ()

NcmVector *
ncm_data_gauss_cov_peek_mean (NcmDataGaussCov *gauss);

Parameters

gauss

a NcmDataGaussCov

Returns

the current data mean NcmVector.

[transfer none]

ncm_data_gauss_cov_peek_cov ()

NcmMatrix *
ncm_data_gauss_cov_peek_cov (NcmDataGaussCov *gauss);

Parameters

gauss

a NcmDataGaussCov

Returns

the current data covariance NcmMatrix.

[transfer none]

ncm_data_gauss_cov_get_log_norma ()

gdouble
ncm_data_gauss_cov_get_log_norma (NcmDataGaussCov *gauss,
                                  NcmMSet *mset);

Parameters

gauss	a NcmDataGaussCov
mset	a NcmMSet

Returns

the log-normalization factor for $-2\ln(L)$.

ncm_data_gauss_cov_bulk_resample ()

void
ncm_data_gauss_cov_bulk_resample (NcmDataGaussCov *gauss,
                                  NcmMSet *mset,
                                  NcmMatrix *resample,
                                  NcmRNG *rng);

Resamples the data based on the models in mset according to the current data distribution. The resampled data is stored in resample . The resampling is done in bulk, i.e., all the data is resampled at once.

Parameters

gauss	a NcmDataGaussCov
mset	a NcmMSet
resample	a NcmMatrix
rng	a NcmRNG

Types and Values

NCM_TYPE_DATA_GAUSS_COV

#define NCM_TYPE_DATA_GAUSS_COV (ncm_data_gauss_cov_get_type ())

struct NcmDataGaussCovClass

struct NcmDataGaussCovClass {
};