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/*
Genome-wide Efficient Mixed Model Association (GEMMA)
Copyright (C) 2011-2017, Xiang Zhou
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef __BSLMMDAP_H__
#define __BSLMMDAP_H__
#include "param.h"
#include <gsl/gsl_randist.h>
#include <gsl/gsl_rng.h>
#include <map>
#include <vector>
using namespace std;
class BSLMMDAP {
public:
// IO-related parameters.
int a_mode;
size_t d_pace;
string file_bfile;
string file_geno;
string file_out;
string path_out;
// LMM related parameters
double pve_null;
double pheno_mean;
// BSLMM MCMC related parameters
long int randseed;
double trace_G;
HYPBSLMM cHyp_initial;
// Summary statistics
size_t ni_total, ns_total; // Number of total individuals and SNPs.
size_t ni_test, ns_test; // Number of individuals and SNPs
// used for analysis.
double h_min, h_max, rho_min, rho_max;
size_t h_ngrid, rho_ngrid;
double time_UtZ;
double time_Omega; // Time spent on optimization iterations.
double time_Proposal; // Time spent on constructing the
// proposal distribution for gamma
// (i.e., lmm or lm analysis).
// Indicator for individuals (phenotypes): 0 missing, 1
// available for analysis.
vector<int> indicator_idv;
// Sequence indicator for SNPs: 0 ignored because of (a) maf,
// (b) miss, (c) non-poly; 1 available for analysis.
vector<int> indicator_snp;
vector<SNPINFO> snpInfo; // Record SNP information.
// Main functions.
void CopyFromParam(PARAM &cPar);
void CopyToParam(PARAM &cPar);
void WriteResult(const gsl_matrix *Hyper, const gsl_matrix *BF);
void WriteResult(const vector<string> &vec_rs, const gsl_matrix *Hyper,
const gsl_vector *pip, const gsl_vector *coef);
double CalcMarginal(const gsl_vector *Uty, const gsl_vector *K_eval,
const double sigma_b2, const double tau);
double CalcMarginal(const gsl_matrix *UtXgamma, const gsl_vector *Uty,
const gsl_vector *K_eval, const double sigma_a2,
const double sigma_b2, const double tau);
double CalcPrior(class HYPBSLMM &cHyp);
void DAP_CalcBF(const gsl_matrix *U, const gsl_matrix *UtX,
const gsl_vector *Uty, const gsl_vector *K_eval,
const gsl_vector *y);
void
DAP_EstimateHyper(const size_t kc, const size_t kd,
const vector<string> &vec_rs, const vector<double> &vec_sa2,
const vector<double> &vec_sb2, const vector<double> &wab,
const vector<vector<vector<double>>> &BF, gsl_matrix *Ac,
gsl_matrix_int *Ad, gsl_vector_int *dlevel);
};
void ReadFile_hyb(const string &file_hyp, vector<double> &vec_sa2,
vector<double> &vec_sb2, vector<double> &vec_wab);
void ReadFile_bf(const string &file_bf, vector<string> &vec_rs,
vector<vector<vector<double>>> &BF);
void ReadFile_cat(const string &file_cat, const vector<string> &vec_rs,
gsl_matrix *Ac, gsl_matrix_int *Ad, gsl_vector_int *dlevel,
size_t &kc, size_t &kd);
#endif
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