inline
void
subview_field<oT>::operator= (const field<oT>& x)
{
arma_extra_debug_sigprint();
subview_field<oT>& t = *this;
arma_debug_check( (t.n_rows != x.n_rows) || (t.n_cols != x.n_cols) || (t.n_slices != x.n_slices), "incompatible field dimensions");
if(t.n_slices == 1)
{
for(uword col=0; col < t.n_cols; ++col)
for(uword row=0; row < t.n_rows; ++row)
{
t.at(row,col) = x.at(row,col);
}
}
else
{
for(uword slice=0; slice < t.n_slices; ++slice)
for(uword col=0; col < t.n_cols; ++col )
for(uword row=0; row < t.n_rows; ++row )
{
t.at(row,col,slice) = x.at(row,col,slice);
}
}
}
arma::vec log_longF_svft(const field<vec>& y, const field<vec>& eta,
const CharacterVector& fams, const CharacterVector& links,
const List& sigmas, const field<uvec>& id, const int& n) {
int n_outcomes = y.size();
vec out(n, fill::zeros);
for (int i = 0; i < n_outcomes; ++i) {
uvec id_i = id.at(i);
vec y_i = y.at(i);
vec eta_i = eta.at(i);
if (fams[i] == "gaussian") {
double sigma_i = as<double>(sigmas[i]);
vec log_dens = - 0.5 * pow((y_i - eta_i) / sigma_i, 2);
out += rowsum_svft(log_dens, id_i);
} else if (fams[i] == "binomial") {
if (links[i] == "logit") {
vec pr = exp(eta_i) / (1 + exp(eta_i));
vec log_dens = y_i % log(pr) + (1 - y_i) % log(1 - pr);
out += rowsum_svft(log_dens, id_i);
} else if (links[i] == "probit") {
vec pr = Vpnorm_svft(eta_i);
vec log_dens = y_i % log(pr) + (1 - y_i) % log(1 - pr);
out += rowsum_svft(log_dens, id_i);
} else if (links[i] == "cloglog") {
vec pr = - exp(- exp(eta_i)) + 1;
vec log_dens = y_i % log(pr) + (1 - y_i) % log(1 - pr);
out += rowsum_svft(log_dens, id_i);
}
} else if (fams[i] == "poisson") {
vec mu = exp(eta_i);
vec log_dens = y_i % log(mu) - mu;
out += rowsum_svft(log_dens, id_i);
}
}
return(out);
}
arma::field<arma::vec> lin_predF_svft(const field<vec>& Xbetas, const field<mat>& Z,
const mat& b, const field<uvec>& RE_inds,
const field<uvec>& id) {
signed int n_field = Xbetas.size();
field<vec> out(n_field);
for (int i = 0; i < n_field; ++i) {
mat bb = b.cols(RE_inds.at(i));
vec Zb = sum(Z.at(i) % bb.rows(id.at(i)), 1);
out.at(i) = Xbetas.at(i) + Zb;
}
return(out);
}
inline
void
subview_field<oT>::operator= (const field<oT>& x)
{
arma_extra_debug_sigprint();
subview_field<oT>& t = *this;
arma_debug_check( (t.n_rows != x.n_rows) || (t.n_cols != x.n_cols), "incompatible field dimensions");
for(u32 col=0; col<t.n_cols; ++col)
{
for(u32 row=0; row<t.n_rows; ++row)
{
t.at(row,col) = x.at(row,col);
}
}
}
inline
void
field<oT>::init(const field<oT>& x)
{
arma_extra_debug_sigprint();
if(this != &x)
{
init(x.n_rows, x.n_cols);
field& t = *this;
for(uword col=0; col<x.n_cols; ++col)
for(uword row=0; row<x.n_rows; ++row)
{
t.at(row,col) = x.at(row,col);
}
}
}
inline
void
field<oT>::init(const field<oT>& x)
{
arma_extra_debug_sigprint();
if(this != &x)
{
const uword x_n_rows = x.n_rows;
const uword x_n_cols = x.n_cols;
init(x_n_rows, x_n_cols);
field& t = *this;
for(uword ucol=0; ucol < x_n_cols; ++ucol)
for(uword urow=0; urow < x_n_rows; ++urow)
{
t.at(urow,ucol) = x.at(urow,ucol);
}
}
}
inline
void
arma_ostream::print(std::ostream& o, const field<oT>& x)
{
arma_extra_debug_sigprint();
const arma_ostream_state stream_state(o);
const std::streamsize cell_width = o.width();
const uword x_n_rows = x.n_rows;
const uword x_n_cols = x.n_cols;
if(x.is_empty() == false)
{
for(uword col=0; col<x_n_cols; ++col)
{
o << "[field column " << col << ']' << '\n';
for(uword row=0; row<x_n_rows; ++row)
{
o.width(cell_width);
o << x.at(row,col) << '\n';
}
o << '\n';
}
}
else
{
o << "[field size: " << x_n_rows << 'x' << x_n_cols << "]\n";
}
o.flush();
stream_state.restore(o);
}
arma::mat lin_pred_matF_svft(const field<vec>& Xbetas, const field<mat>& Z,
const mat& b, const field<mat>& U,
const field<uvec>& RE_inds, const field<uvec>& id,
const field<uvec>& col_inds, const uvec& row_inds,
const int& nrows, const int& ncols,
const CharacterVector& trans_Funs) {
int n_field = Xbetas.size();
mat out = mat(nrows, ncols, fill::zeros);
for (int i = 0; i < n_field; ++i) {
mat bb = b.cols(RE_inds.at(i));
vec Zb = sum(Z.at(i) % bb.rows(id.at(i)), 1);
if (trans_Funs[i] == "identity") {
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % (Xbetas.at(i) + Zb);
} else if (trans_Funs[i] == "expit") {
vec exp_eta = exp(Xbetas.at(i) + Zb);
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % (exp_eta / (1 + exp_eta));
} else if (trans_Funs[i] == "exp") {
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % exp(Xbetas.at(i) + Zb);
} else if (trans_Funs[i] == "log") {
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % log(Xbetas.at(i) + Zb);
} else if (trans_Funs[i] == "log2") {
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % log2(Xbetas.at(i) + Zb);
} else if (trans_Funs[i] == "log10") {
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % log10(Xbetas.at(i) + Zb);
} else if (trans_Funs[i] == "sqrt") {
out.submat(row_inds, col_inds.at(i)) = U.at(i).each_col() % sqrt(Xbetas.at(i) + Zb);
}
}
return(out);
}