portelli/LatAnalyze
1
0
Fork 0
mirror of https://github.com/aportelli/LatAnalyze.git synced 2025-12-22 08:54:28 +00:00
Code Releases Activity

new fit: partial residuals and plots

Browse Source
This commit is contained in:
Antonin Portelli
2016-04-04 19:09:18 +01:00
parent f82b20dc73
commit 07bacf0e4b
10 changed files with 335 additions and 99 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
lib/XYSampleData.hpp
View File

@@ -75,15 +75,16 @@ public:
// destructor
virtual ~XYSampleData(void) = default;
// data access
DSample & x(const Index r, const Index i = 0);
const DSample & x(const Index r, const Index i = 0) const;
DSample & y(const Index k, const Index j = 0);
const DSample & y(const Index k, const Index j = 0) const;
const DMat & getXXVar(const Index i1, const Index i2);
const DMat & getYYVar(const Index j1, const Index j2);
const DMat & getXYVar(const Index i, const Index j);
DVec getXError(const Index i);
DVec getYError(const Index j);
DSample & x(const Index r, const Index i);
const DSample & x(const Index r, const Index i) const;
const DMatSample & x(const Index k);
DSample & y(const Index k, const Index j);
const DSample & y(const Index k, const Index j) const;
const DMat & getXXVar(const Index i1, const Index i2);
const DMat & getYYVar(const Index j1, const Index j2);
const DMat & getXYVar(const Index i, const Index j);
DVec getXError(const Index i);
DVec getYError(const Index j);
// get total fit variance matrix and its pseudo-inverse
const DMat & getFitVarMat(void);
const DMat & getFitVarMatPInv(void);
@@ -102,7 +103,14 @@ public:
template <typename... Ts>
SampleFitResult fit(Minimizer &minimizer, const DVec &init,
const DoubleModel &model, const Ts... models);
// residuals
XYSampleData getResiduals(const SampleFitResult &fit);
XYSampleData getPartialResiduals(const SampleFitResult &fit, const DVec &x,
const Index i);
private:
// buffer list of x vectors
void scheduleXMapInit(void);
void updateXMap(void);
// schedule data initilization from samples
void scheduleDataInit(void);
// variance matrix computation
@@ -114,9 +122,11 @@ private:
private:
std::vector<std::map<Index, DSample>> yData_;
std::vector<std::vector<DSample>> xData_;
std::map<Index, DMatSample> xMap_;
XYStatData data_;
Index nSample_, dataSample_{central};
bool initData_{true}, computeVarMat_{true};
bool initXMap_{true};
};
/******************************************************************************