Class
NumCosmoMathStatsDist2dSpline
Description [src]
final class NumCosmoMath.StatsDist2dSpline : NumCosmoMath.StatsDist2d
{
/* No available fields */
}Two-dimensional distribution with $-2\ln p(x, y)$ given by a spline.
The support is the knot range of the NcmStatsDist2dSpline:m2lnp spline, and the density
$p(x, y) = e^{-m_2(x, y)/2}$ is not normalized. Only ncm_stats_dist2d_eval_m2lnp(),
ncm_stats_dist2d_eval_pdf() and the bounds are implemented; the cumulative distribution,
the marginals and the conditional quantiles abort.
Constructors
ncm_stats_dist2d_spline_new
Creates a new NcmStatsDist2dSpline with NcmStatsDist2dSpline:m2lnp set to m2lnp;
ncm_stats_dist2d_prepare() prepares m2lnp.
Instance methods
Methods inherited from NcmStatsDist2d (12)
ncm_stats_dist2d_eval_cdf
Evaluates the probability of $[x_i, x] \times [y_i, y]$.
ncm_stats_dist2d_eval_inv_cond
Evaluates the quantile u of the other variable conditional on the marginal’s variable
being xy.
ncm_stats_dist2d_eval_m2lnp
Evaluates $-2\ln p(x, y)$.
ncm_stats_dist2d_eval_marginal_cdf
Evaluates the cumulative distribution of the marginal of ncm_stats_dist2d_eval_marginal_pdf().
ncm_stats_dist2d_eval_marginal_inv_cdf
Evaluates the inverse of ncm_stats_dist2d_eval_marginal_cdf().
ncm_stats_dist2d_eval_marginal_pdf
Evaluates the marginal density of one variable; which one depends on the subclass.
ncm_stats_dist2d_eval_pdf
Evaluates the density at (x, y).
ncm_stats_dist2d_free
Decreases the reference count of sd2.
ncm_stats_dist2d_prepare
Calls the subclass prepare, if any; must be called before evaluating sd2.
ncm_stats_dist2d_ref
Increases the reference count of sd2.
ncm_stats_dist2d_xbounds
Gets the range of $x$ of the support.
ncm_stats_dist2d_ybounds
Gets the range of $y$ of the support.
Signals
Signals inherited from GObject (1)
GObject::notify
The notify signal is emitted on an object when one of its properties has its value set through g_object_set_property(), g_object_set(), et al.