VARIOGRAM *reml_sills(DATA *data, VARIOGRAM *vp) {
int i, j, k;
MAT **Vk = NULL, *X = MNULL;
VEC *Y = VNULL, *init = VNULL;
DPOINT *dpa, *dpb;
double dx, dy = 0.0, dz = 0.0, dzero2;
if (data == NULL || vp == NULL)
ErrMsg(ER_NULL, "reml()");
select_at(data, (DPOINT *) NULL);
if (vp->n_models <= 0)
ErrMsg(ER_VARNOTSET, "reml: please define initial variogram model");
/*
* create Y, X, Vk's only once:
*/
Y = get_y(&data, Y, 1);
X = get_X(&data, X, 1);
Vk = (MAT **) emalloc(vp->n_models * sizeof(MAT));
init = v_resize(init, vp->n_models);
for (i = 0; i < vp->n_models; i++) {
init->ve[i] = vp->part[i].sill; /* remember init. values for updating */
vp->part[i].sill = 1;
Vk[i] = m_resize(MNULL, X->m, X->m);
}
dzero2 = gl_zero * gl_zero;
for (i = 0; i < data->n_list; i++) {
for (j = 0; j < vp->n_models; j++) /* fill diagonals */
Vk[j]->me[i][i] = Covariance(vp->part[j], 0.0, 0.0, 0.0);
for (j = 0; j < i; j++) { /* off-diagonal elements: */
dpa = data->list[i];
dpb = data->list[j];
/*
* if different points coincide on a locations, shift them,
* or the covariance matrix will become singular
*/
dx = dpa->x - dpb->x;
dy = dpa->y - dpb->y;
dz = dpa->z - dpb->z;
if (data->pp_norm2(dpa, dpb) < dzero2) {
if (data->mode & X_BIT_SET)
dx = (dx >= 0 ? gl_zero : -gl_zero);
if (data->mode & Y_BIT_SET)
dy = (dy >= 0 ? gl_zero : -gl_zero);
if (data->mode & Z_BIT_SET)
dz = (dz >= 0 ? gl_zero : -gl_zero);
}
for (k = 0; k < vp->n_models; k++)
Vk[k]->me[i][j] = Vk[k]->me[j][i] =
Covariance(vp->part[k], dx, dy, dz);
}
}
if (reml(Y, X, Vk, vp->n_models, gl_iter, gl_fit_limit, init))
vp->ev->refit = 0;
else /* on convergence */
pr_warning("no convergence while fitting variogram");
for (i = 0; i < vp->n_models; i++)
vp->part[i].sill = init->ve[i];
update_variogram(vp);
if (DEBUG_VGMFIT)
logprint_variogram(vp, 1);
for (i = 0; i < vp->n_models; i++)
m_free(Vk[i]);
efree(Vk);
m_free(X);
v_free(Y);
v_free(init);
return vp;
}
void gcta::fit_reml(string grm_file, string phen_file, string qcovar_file, string covar_file, string qGE_file, string GE_file, string keep_indi_file, string remove_indi_file, string sex_file, int mphen, double grm_cutoff, double adj_grm_fac, int dosage_compen, bool m_grm_flag, bool pred_rand_eff, bool est_fix_eff, int reml_mtd, int MaxIter, vector<double> reml_priors, vector<double> reml_priors_var, vector<int> drop, bool no_lrt, double prevalence, bool no_constrain, bool mlmassoc)
{
_reml_mtd=reml_mtd;
_reml_max_iter=MaxIter;
int i=0, j=0, k=0;
bool grm_flag=(!grm_file.empty());
bool qcovar_flag=(!qcovar_file.empty());
bool covar_flag=(!covar_file.empty());
bool GE_flag=(!GE_file.empty());
bool qGE_flag=(!qGE_file.empty());
if(m_grm_flag) grm_flag=false;
// Read data
stringstream errmsg;
int qcovar_num=0, covar_num=0, qE_fac_num=0, E_fac_num=0;
vector<string> phen_ID, phen_buf, qcovar_ID, covar_ID, qGE_ID, GE_ID, grm_id, grm_files;
vector< vector<string> > qcovar, covar, GE, qGE; // save individuals by column
if(grm_flag){
read_grm_gz(grm_file, grm_id);
update_id_map_kp(grm_id, _id_map, _keep);
grm_files.push_back(grm_file);
}
else if(m_grm_flag){
read_grm_filenames(grm_file, grm_files, false);
for(i=0; i<grm_files.size(); i++){
read_grm_gz(grm_files[i], grm_id, false, true);
update_id_map_kp(grm_id, _id_map, _keep);
}
}
read_phen(phen_file, phen_ID, phen_buf, mphen);
update_id_map_kp(phen_ID, _id_map, _keep);
if(qcovar_flag){
qcovar_num=read_covar(qcovar_file, qcovar_ID, qcovar, true);
update_id_map_kp(qcovar_ID, _id_map, _keep);
}
if(covar_flag){
covar_num=read_covar(covar_file, covar_ID, covar, false);
update_id_map_kp(covar_ID, _id_map, _keep);
}
if(qGE_flag){
qE_fac_num=read_GE(qGE_file, qGE_ID, qGE, true);
update_id_map_kp(qGE_ID, _id_map, _keep);
}
if(GE_flag){
E_fac_num=read_GE(GE_file, GE_ID, GE, false);
update_id_map_kp(GE_ID, _id_map, _keep);
}
if(!mlmassoc){
if(!keep_indi_file.empty()) keep_indi(keep_indi_file);
if(!remove_indi_file.empty()) remove_indi(remove_indi_file);
}
if(grm_flag){
if(grm_cutoff>-1.0) rm_cor_indi(grm_cutoff);
if(!sex_file.empty()) update_sex(sex_file);
if(adj_grm_fac>-1.0) adj_grm(adj_grm_fac);
if(dosage_compen>-1) dc(dosage_compen);
_grm_N.resize(1,1);
}
vector<string> uni_id;
map<string, int> uni_id_map;
map<string, int>::iterator iter;
for(i=0; i<_keep.size(); i++){
uni_id.push_back(_fid[_keep[i]]+":"+_pid[_keep[i]]);
uni_id_map.insert(pair<string,int>(_fid[_keep[i]]+":"+_pid[_keep[i]], i));
}
_n=_keep.size();
if(_n<1) throw("Error: no individual is in common in the input files.");
// construct model terms
_y.setZero(_n);
for(i=0; i<phen_ID.size(); i++){
iter=uni_id_map.find(phen_ID[i]);
if(iter==uni_id_map.end()) continue;
_y[iter->second]=atof(phen_buf[i].c_str());
}
int pos=0;
_r_indx.clear();
eigenMatrix A_N(_n, _n);
vector<int> kp;
if(grm_flag){
for(i=0; i<1+qE_fac_num+E_fac_num; i++) _r_indx.push_back(i);
if(!no_lrt) drop_comp(drop);
_A=eigenMatrix::Zero(_n, _r_indx.size()*_n);
if(mlmassoc) StrFunc::match(uni_id, grm_id, kp);
else kp=_keep;
for(i=0; i<_n; i++){
for(j=0; j<=i; j++) (_A.block(0,0,_n,_n))(j,i)=(_A.block(0,0,_n,_n))(i,j)=_grm(kp[i],kp[j]);
}
pos++;
_grm.resize(1,1);
}
else if(m_grm_flag){
if(!sex_file.empty()) update_sex(sex_file);
for(i=0; i<(1+qE_fac_num+E_fac_num)*grm_files.size(); i++) _r_indx.push_back(i);
if(!no_lrt) drop_comp(drop);
_A=eigenMatrix::Zero(_n, _r_indx.size()*_n);
string prev_file=grm_files[0];
vector<string> prev_grm_id(grm_id);
cout<<"There are "<<grm_files.size()<<" GRM file names specified in the file ["+grm_file+"]."<<endl;
for(i=0; i<grm_files.size(); i++, pos++){
cout<<"Reading the GRM from the "<<i+1<<"th file ..."<<endl;
read_grm_gz(grm_files[i], grm_id);
if(adj_grm_fac>-1.0) adj_grm(adj_grm_fac);
if(dosage_compen>-1) dc(dosage_compen);
StrFunc::match(uni_id, grm_id, kp);
int pos_n=pos*_n;
for(j=0; j<_n; j++){
for(k=0; k<=j; k++){
if(kp[j]>=kp[k]) (_A.block(0,pos_n,_n,_n))(k,j)=(_A.block(0,pos_n,_n,_n))(j,k)=_grm(kp[j],kp[k]);
else (_A.block(0,pos_n,_n,_n))(k,j)=(_A.block(0,pos_n,_n,_n))(j,k)=_grm(kp[k],kp[j]);
}
}
prev_file=grm_files[i];
prev_grm_id=grm_id;
}
_grm_N.resize(1,1);
_grm.resize(1,1);
}
// GE interaction
vector<eigenMatrix> E_float(E_fac_num);
eigenMatrix qE_float, mbuf;
if(qGE_flag){
qE_float.resize(_n, qE_fac_num);
for(i=0; i<qGE_ID.size(); i++){
iter=uni_id_map.find(qGE_ID[i]);
if(iter==uni_id_map.end()) continue;
for(j=0; j<qE_fac_num; j++) qE_float(iter->second,j)=atof(qGE[i][j].c_str());
}
for(j=0; j<qE_fac_num; j++){
mbuf=((qE_float.block(0,j,_n,1))*(qE_float.block(0,j,_n,1)).transpose());
for(i=0; i<grm_files.size(); i++, pos++) (_A.block(0,pos*_n,_n,_n))=(_A.block(0,i*_n,_n,_n)).array()*mbuf.array();
}
}
if(GE_flag){
vector< vector<string> > E_str(E_fac_num);
for(i=0; i<E_fac_num; i++) E_str[i].resize(_n);
for(i=0; i<GE_ID.size(); i++){
iter=uni_id_map.find(GE_ID[i]);
if(iter!=uni_id_map.end()){
for(j=0; j<E_fac_num; j++) E_str[j][iter->second]=GE[i][j];
}
}
for(j=0; j<E_fac_num; j++){
stringstream errmsg;
errmsg<<"Error: too many classes for the "<<j+1<<"th environmental factor. \nPlease make sure you input a discrete variable as the environmental factor.";
string errmsg1=errmsg.str();
errmsg.str("");
errmsg<<"Error: the "<<j+1<<"th envronmental factor has only one class.";
string errmsg2=errmsg.str();
coeff_mat(E_str[j], E_float[j], errmsg1, errmsg2);
mbuf=((E_float[j])*(E_float[j]).transpose());
for(i=0; i<grm_files.size(); i++, pos++) (_A.block(0,pos*_n,_n,_n))=(_A.block(0,i*_n,_n,_n)).array()*mbuf.array();
}
}
// construct X matrix
construct_X(uni_id_map, qcovar_flag, qcovar_num, qcovar_ID, qcovar, covar_flag, covar_num, covar_ID, covar, E_float, qE_float);
// names of variance component
for(i=0; i<grm_files.size(); i++){
stringstream strstrm;
if(grm_files.size()==1) strstrm<<"";
else strstrm<<i+1;
_var_name.push_back("V(G"+strstrm.str()+")");
_hsq_name.push_back("V(G"+strstrm.str()+")/Vp");
}
for(j=0; j<qE_fac_num; j++){
for(i=0; i<grm_files.size(); i++){
stringstream strstrm1,strstrm2;
if(grm_files.size()==1) strstrm1<<"";
else strstrm1<<i+1;
if(qE_fac_num==1) strstrm2<<"";
else strstrm2<<j+1;
_var_name.push_back("V(G"+strstrm1.str()+"xqE"+strstrm2.str()+")");
_hsq_name.push_back("V(G"+strstrm1.str()+"xqE"+strstrm2.str()+")"+"/Vp");
}
}
for(j=0; j<E_fac_num; j++){
for(i=0; i<grm_files.size(); i++){
stringstream strstrm1,strstrm2;
if(grm_files.size()==1) strstrm1<<"";
else strstrm1<<i+1;
if(E_fac_num==1) strstrm2<<"";
else strstrm2<<j+1;
_var_name.push_back("V(G"+strstrm1.str()+"xE"+strstrm2.str()+")");
_hsq_name.push_back("V(G"+strstrm1.str()+"xE"+strstrm2.str()+")"+"/Vp");
}
}
_var_name.push_back("V(e)");
// run REML algorithm
cout<<_n<<" individuals are in common in these files."<<endl;
reml(pred_rand_eff, est_fix_eff, reml_priors, reml_priors_var, prevalence, no_constrain, no_lrt, mlmassoc);
}
