Reporting WIP.

CMakeLists.txt

@@ -100,6 +100,7 @@ set(SPELL_QTL_SRC
 #         src/input/xml/xml_format.cc src/input/xml/xml_settings.cc
         src/static_data.cc src/main.cc src/beta_gamma.cc
         src/computations/basic_data.cc src/computations/probabilities.cc src/computations/model.cc src/computations/frontends.cc
+        src/computations/report.cc
 )
 
 MESSAGE(STATUS "spell-pedigree src = ${SPELL_PEDIGREE_SRC}")

include/computations/model.h

@@ -362,12 +362,6 @@ inline void arg_write(std::ostream&, const computation_along_chromosome*) {}
 inline bool arg_match(std::istream&, const computation_along_chromosome*) { return true; }
 namespace std { template<> struct hash<computation_along_chromosome*> { bool operator () (const computation_along_chromosome*) const { return 1; } }; }
 
-enum ComputationType { NoTest=0, FTest=1, FTestLOD=2, R2=4, Chi2=8, Chi2LOD=16, Mahalanobis=32 };
-enum ComputationResults { Test=0, RSS=1, Residuals=2, Coefficients=4, Rank=8 };
-
-constexpr ComputationType operator | (ComputationType a, ComputationType b) { return  (ComputationType) (((int)a) | ((int)b)); }
-constexpr ComputationResults operator | (ComputationResults a, ComputationResults b) { return  (ComputationResults) (((int)a) | ((int)b)); }
-
 
 namespace std {
     template <>

include/computations/report_frontend.h

+/* Spell-QTL  Software suite for the QTL analysis of modern datasets.
+ * Copyright (C) 2016,2017  Damien Leroux <damien.leroux@inra.fr>, Sylvain Jasson <sylvain.jasson@inra.fr>
+ *
+ * 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 _SPEL_REPORT_FRONTEND_H_
+#define _SPEL_REPORT_FRONTEND_H_
+
+#include "computations/frontends4.h"
+
+
+
+
+#endif

include/error.h

@@ -89,6 +89,7 @@ struct builder {
     builder<S>& operator << (const char* x);
     template <typename X> builder<S>& operator << (X&& x);
     builder<S>& operator << (_Stream&(*x)(_Stream&));
+    builder<S>& operator << (std::ios_base& (&)(std::ios_base&));
 };
 
 
@@ -103,6 +104,7 @@ struct endpoint {
     builder<S> operator << (const char* x);
     template <typename X> builder<S> operator << (X&& x);
     builder<S> operator << (_Stream&(*x)(_Stream&));
+    builder<S> operator << (std::ios_base& (&)(std::ios_base&));
 };
 
 

include/model/print.h

@@ -210,6 +210,18 @@ struct section<SectionLabel, void>
 };
 
 
+template <>
+struct section<void, void>
+        : public with_section_label<void>,
+          public with_field_labels<void> {
+    section(size_t nf)
+        : with_section_label<void>(), with_field_labels<void>(nf)
+    {}
+
+    const std::string& label() const { static std::string _; return _; }
+};
+
+
 struct section_size {
     size_t label_length;
     size_t size;

include/output_impl.h

@@ -23,11 +23,13 @@ namespace output {
     template <typename S> builder<S>& builder<S>::operator << (const char* x) { std::move(_s) << x; return *this; }
     template <typename S> template <typename X> builder<S>& builder<S>::operator << (X&& x) { _s << x; return *this; }
     template <typename S> builder<S>& builder<S>::operator << (_Stream&(*x)(_Stream&)) { _s << x; return *this; }
+    template <typename S> builder<S>& builder<S>::operator << (std::ios_base& (&x)(std::ios_base&)) { _s << x; return *this; }
 
 
     template <typename S> builder<S> endpoint<S>::operator << (const char* x) { builder<S> b(out); b._s << x; return b; }
     template <typename S> template <typename X> builder<S> endpoint<S>::operator << (X&& x) { builder<S> b(out); b._s << x; return b; }
     template <typename S> builder<S> endpoint<S>::operator << (_Stream&(*x)(_Stream&)) { builder<S> b(out); b._s << x; return b; }
+    template <typename S> builder<S> endpoint<S>::operator << (std::ios_base& (&x)(std::ios_base&)) { builder<S> b(out); b._s << x; return b; }
 #endif
 
 #ifdef _SPELL_FILE_H_

include/settings.h

@@ -45,6 +45,13 @@
 
 #include "task_pool.h"
 
+enum ComputationType { NoTest=0, FTest=1, FTestLOD=2, R2=4, Chi2=8, Chi2LOD=16, Mahalanobis=32 };
+enum ComputationResults { Test=0, RSS=1, Residuals=2, Coefficients=4, Rank=8 };
+
+constexpr ComputationType operator | (ComputationType a, ComputationType b) { return  (ComputationType) (((int)a) | ((int)b)); }
+constexpr ComputationResults operator | (ComputationResults a, ComputationResults b) { return  (ComputationResults) (((int)a) | ((int)b)); }
+
+
 
 struct pleiotropy_descr {
     std::string name;
@@ -217,12 +224,15 @@ struct settings_t {
 
     std::vector<trait> covar_per_pop;
 
-    double lod_support;
+    double lod_support_inner, lod_support_outer;
 
     std::map<std::string, trait_metadata_type> trait_metadata;
 
     double Rjoin;
     double Rskip;
+    
+    std::string report_format_string;
+    ComputationResults additional_table_output;
 
     settings_t()
         : notes()
@@ -274,9 +284,13 @@ struct settings_t {
         , with_traits()
         , with_lg()
         , covar_per_pop()
-        , lod_support(1.)
+        , lod_support_inner(1.)
+        , lod_support_outer(lod_support_inner * 2)
         , Rjoin(10.)
         , Rskip(1.)
+        , report_format_string("text,r,excel")
+//         , additional_table_output((ComputationResults) 0)
+        , additional_table_output(ComputationResults::RSS | ComputationResults::Rank)
     {}
 
     std::vector<std::pair<const chromosome*, double>>

src/computations/frontends.cc

@@ -122,6 +122,7 @@ init_skeleton(model_manager& mm)
 model_manager&
 forward(model_manager& mm)
 {
+    report_algo_phase("Cofactor detection: forward");
     /*MSG_DEBUG("FORWARD");*/
     while (true) {
         const auto& result = mm.search_new_best();
@@ -141,6 +142,7 @@ forward(model_manager& mm)
 model_manager&
 backward(model_manager& mm)
 {
+    report_algo_phase("Cofactor detection: backward");
     mm.select_all_loci();
     while (true) {
         auto worst_kb = mm.weakest_link();
@@ -162,6 +164,7 @@ backward(model_manager& mm)
 model_manager&
 qtl_detect_cim(model_manager& mm)
 {
+    report_algo_phase("QTL Detection: CIM");
 
     return mm;
 }
@@ -170,6 +173,7 @@ qtl_detect_cim(model_manager& mm)
 model_manager&
 qtl_detect_cim_minus(model_manager& mm)
 {
+    report_algo_phase("QTL Detection: CIM-");
     auto chrom_best = mm.search_new_best_per_chromosome(true);
     mm.clear_selection();
     for (const auto& cb: chrom_best) {
@@ -237,17 +241,18 @@ in_history(std::set<std::map<chromosome_value, locus_key>>& history, const std::
 
 
 bool
-iqtlm_backward(model_manager& mm, std::set<std::map<chromosome_value, locus_key>>& history)
+iqtlm_backward(std::string algo_suffix, model_manager& mm, std::set<std::map<chromosome_value, locus_key>>& history)
 {
-    DUMP_FILE_LINE();
+    report_algo_phase(MESSAGE("iQTLm" << algo_suffix << " backward"));
+//     DUMP_FILE_LINE();
     while (iqtlm_backward_one(mm)) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
         if (in_history(history, mm.get_selection())) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
             return false;
         }
     }
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
     return true;
 }
 
@@ -255,27 +260,28 @@ iqtlm_backward(model_manager& mm, std::set<std::map<chromosome_value, locus_key>
 bool
 iqtlm_forward(model_manager& mm, std::set<std::map<chromosome_value, locus_key>>& history)
 {
-    DUMP_FILE_LINE();
+    report_algo_phase("iQTLm forward");
+//     DUMP_FILE_LINE();
     while (true) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
         auto results = mm.search_new_best_per_chromosome();
         bool modified = false;
         for (const auto& result: results) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
             modified |= result.second.over_threshold;
             if (result.second.over_threshold) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
                 result.second.select(mm);
                 MSG_DEBUG("added " << result);
             }
         }
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
         if (!modified) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
             return true;
         }
         if (in_history(history, mm.get_selection())) {
-    DUMP_FILE_LINE();
+//     DUMP_FILE_LINE();
             return false;
         }
     }
@@ -285,6 +291,7 @@ iqtlm_forward(model_manager& mm, std::set<std::map<chromosome_value, locus_key>>
 bool
 iqtlm_forward_gw(model_manager& mm, std::set<std::map<chromosome_value, locus_key>>& history)
 {
+    report_algo_phase("iQTLm-GW forward");
     while (true) {
         auto result = mm.search_new_best();
         bool modified = result.over_threshold;
@@ -304,12 +311,13 @@ iqtlm_forward_gw(model_manager& mm, std::set<std::map<chromosome_value, locus_ke
 model_manager&
 qtl_detect_iqtlm(model_manager& mm)
 {
+    report_algo_phase("QTL detection: iQTLm");
     MSG_INFO("iQTLm starts with: " << mm.get_selection());
     std::set<std::map<chromosome_value, locus_key>> history;
     std::map<chromosome_value, locus_key> last_sel, new_sel;
     new_sel = mm.get_selection();
     do {
-        if (iqtlm_backward(mm, history) && iqtlm_forward(mm, history)) {
+        if (iqtlm_backward("", mm, history) && iqtlm_forward(mm, history)) {
             last_sel = new_sel;
             new_sel = mm.get_selection();
         } else {
@@ -323,11 +331,12 @@ qtl_detect_iqtlm(model_manager& mm)
 model_manager&
 qtl_detect_iqtlm_gw(model_manager& mm)
 {
+    report_algo_phase("QTL detection: iQTLm-GW");
     std::set<std::map<chromosome_value, locus_key>> history;
     std::map<chromosome_value, locus_key> last_sel, new_sel;
     new_sel = mm.get_selection();
     while (new_sel != last_sel) {
-        if (iqtlm_backward(mm, history) && iqtlm_forward_gw(mm, history)) {
+        if (iqtlm_backward("-GW", mm, history) && iqtlm_forward_gw(mm, history)) {
             last_sel = new_sel;
             new_sel = mm.get_selection();
         } else {

src/computations/report.cc

+#include "computations/frontends4.h"
+
+std::unique_ptr<analysis_report> ar_ptr;
+
+void
+init_analysis_report(model_manager& mm)
+{
+    ar_ptr.reset(new analysis_report(mm));
+    ar_ptr->trait(mm.trait_name);
+}
+
+analysis_report&
+ar_instance()
+{
+    return *ar_ptr;
+}
+
+
+
+analysis_report_computations::analysis_report_computations(model_manager& _)
+    : mm(_)
+    , poi()
+    , roi()
+    , X(mm.vMcurrent->X())
+{}
+
+
+void
+analysis_report_computations::check_constraints()
+{
+    auto X = mm.vMcurrent->X();
+    if (mm.vMcurrent->rank() < X.cols()) {
+        MSG_ERROR("Insufficient rank for model matrix.", "Report to the developers");
+    }
+    int n_constraints = X.rows();
+    for (const auto& p: mm.all_pops) {
+        n_constraints -= (*p)->size();
+    }
+    auto res = mm.vMcurrent->residuals().bottomRows(n_constraints);
+    if (res.lpNorm<1>() > CONSTRAINT_RESIDUAL_EPSILON) {
+//         MSG_DEBUG(mm.vMcurrent->residuals().transpose());
+//         MSG_DEBUG(res.transpose());
+        double prout = res.lpNorm<1>();
+        double eps = CONSTRAINT_RESIDUAL_EPSILON;
+        MSG_ERROR("Inconsistent contraints for model matrix. " << prout << " > " << eps, "Report to the developers");
+    }
+}
+
+void
+analysis_report_computations::prepare_computations()
+{
+    TM = active_settings->trait_metadata[mm.trait_name];
+    mm.vMcurrent->compute();
+    Pt = TM.P.transpose();
+    all_coefficients = mm.vMcurrent->coefficients() * Pt;
+    /* FIXME use actual full Y instead of un-projecting the traits? */
+    all_residuals = mm.vMcurrent->residuals() * Pt;
+    all_rss = all_residuals.array().square().colwise().sum();
+    pseudo_variances = (mm.vMcurrent->rss().transpose() * Pt.array().square().matrix()).transpose()
+                        / (mm.vMcurrent->n_obs() - mm.vMcurrent->dof() - 1);
+}
+
+mws_result_by_block
+analysis_report_computations::R2(int i)
+{
+    MatrixXd R2(1, mm.vMcurrent->m_blocks.size());
+    auto bi = mm.vMcurrent->m_blocks.begin(), bj = mm.vMcurrent->m_blocks.end();
+    int c = 0;
+    for (; bi != bj; ++bi, ++c) {
+        auto M0 = *mm.vMcurrent;
+        M0.remove_block(bi->first);
+        M0.compute();
+        MatrixXd M0residuals = M0.residuals() * Pt;
+        VectorXd M0rss = M0residuals.array().square().colwise().sum();
+        double r1 = all_rss(i);
+        double r0 = M0rss(i);
+        R2(0, c) = fabs(r0) < 1.e-6 ? 0 : (r0 - r1) / r0;  /* FIXME use some real epsilon */
+    }
+    mws_result_by_block mws(R2);
+    static std::vector<std::vector<char>> empty_label = {{' '}};
+    bi = mm.vMcurrent->m_blocks.begin();
+    for (/*++bi*/; bi != bj; ++bi) { mws.add_column_section(bi->first, empty_label); }
+    mws.add_row_section("", 1);
+    return mws;
+}
+
+int
+analysis_report_computations::significance_level(double q)
+{
+    static const auto& L = significance_legend();
+    return std::find_if(L.thresholds.begin(), L.thresholds.end(), [=] (double d) { return q < d; }) - L.thresholds.begin();
+}
+
+std::vector<qtl_description>
+analysis_report_computations::prepare_qtls(std::vector<QTL> &qtls, ComputationType lod_test_type)
+{
+    std::vector<qtl_description> ret;
+    for (auto& qtl: qtls) {
+        ret.emplace_back(qtl_description{qtl.chromosome, qtl.locus, 0., 0., 0., 0.});
+        auto& descr = ret.back();
+        auto ci = qtl.confidence_interval();
+        descr.outer_interval_start = ci[0];
+        descr.outer_interval_end = ci[1];
+        descr.inner_interval_start = ci[2];
+        descr.inner_interval_end = ci[3];
+//         std::tie(descr.inner_interval_start, descr.inner_interval_end,
+//                     descr.outer_interval_start, descr.outer_interval_end) = qtl.confidence_interval();
+        roi[qtl.chromosome][qtl.locus] = {descr.outer_interval_start, descr.outer_interval_end};
+//         report_lod(qtl);
+        std::string name = MESSAGE(mm.trait_name << " @ " << qtl.locus << " [" << descr.outer_interval_start << ':' << descr.outer_interval_end << ']');
+        if (poi[qtl.chromosome][qtl.locus].size()) {
+            poi[qtl.chromosome][qtl.locus] = MESSAGE(poi[qtl.chromosome][qtl.locus] << ',' << name);
+        } else {
+            poi[qtl.chromosome][qtl.locus] = name;
+        }
+    }
+    return ret;
+}
+
+
+
+
+inline
+std::pair<std::vector<size_t>, std::vector<std::pair<model_block_key, std::vector<std::vector<char>>>>>
+analysis_report_computations::filter_columns(const MatrixXd& conrow, const model_block_collection& blocks)
+{
+    std::pair<std::vector<size_t>, std::vector<std::pair<model_block_key, std::vector<std::vector<char>>>>> ret;
+    auto& columns = ret.first;
+    auto& block_parts = ret.second;
+    size_t j = 0;
+    for (const auto& kv: blocks) {
+        const auto& labels = kv.second->column_labels;
+        for (size_t i = 0; i < labels.size(); ++i, ++j) {
+            if (conrow(j)) {
+                if (!block_parts.size() || block_parts.back().first != kv.first) {
+                    MSG_DEBUG("first used column in block " << kv.first);
+                    block_parts.emplace_back();
+                    block_parts.back().first = kv.first;
+                    block_parts.back().second.push_back(labels[i]);
+                } else {
+                    block_parts.back().second.push_back(labels[i]);
+                }
+                MSG_DEBUG("added column #" << j);
+                MSG_QUEUE_FLUSH();
+                columns.push_back(j);
+            }
+        }
+    }
+    return ret;
+}
+
+
+std::tuple<MatrixXd, MatrixXd, MatrixXi>
+analysis_report_computations::contrasts(const std::vector<size_t>& columns, const MatrixXd& conmat, const MatrixXd& vcov, const MatrixXd& coef, int r)
+{
+//     auto subset = filter_columns(conmat.row(r), mm.vMcurrent->m_blocks);
+//     const auto& columns = subset.first;
+//     const auto& blocks = subset.second;
+    std::tuple<MatrixXd, MatrixXd, MatrixXi> ret {
+        MatrixXd::Zero(columns.size(), columns.size()),
+        MatrixXd::Zero(columns.size(), columns.size()),
+        MatrixXi::Zero(columns.size(), columns.size())
+    };
+    auto& pvmat = std::get<0>(ret);
+    auto& ctrmat = std::get<1>(ret);
+    auto& stymat = std::get<2>(ret);
+    MatrixXd pvalue_mat = MatrixXd::Zero(pvmat.rows(), pvmat.cols());
+    for (int i1 = 0; i1 < pvmat.cols(); ++i1) {
+        stymat(i1, i1) = significance_level(1.);
+        for (int i2 = i1 + 1; i2 < pvmat.cols(); ++i2) {
+            int a1 = columns[i1];
+            int a2 = columns[i2];
+            double sigma = vcov(a1, a1) + vcov(a2, a2) - 2 * vcov(a1, a2);
+            double delta = coef(a1) - coef(a2);
+            normal s(0, sigma > 0 ? sqrt(sigma) : 1.e-9);
+            double pvalue = 2 * cdf(complement(s, fabs(delta)));
+            pvmat(i1, i2) = pvmat(i2, i1) = pvalue;
+            ctrmat(i1, i2) = -delta;
+            ctrmat(i2, i1) = delta;
+            stymat(i1, i2) = stymat(i2, i1) = significance_level(pvalue);
+        }
+    }
+    return ret;
+}
+
+
+
+analysis_report&
+analysis_report::report_computation(std::string chrom, std::string trait_name, std::vector<double>& loci, const computation_along_chromosome& cac, const test_result& tr)
+{
+    report_algo_selection(chrom, tr.test_value, tr.locus, mm.threshold);
+    std::vector<std::string> colnames = {"locus"};
+    MatrixXd values = MatrixXd::Zero(loci.size(),
+                                     1
+                                     + cac.chi2.cols() + cac.chi2_lod.cols() + cac.coefficients.cols()
+                                     + cac.ftest_lod.rows() + cac.ftest_pvalue.rows() + cac.mahalanobis.cols()
+                                     + cac.r2.cols() + cac.rank.cols() + cac.residuals.cols() + cac.rss.rows());
+    values.col(0) = Eigen::Map<VectorXd>(loci.data(), loci.size());
+    int c = 1;
+    
+    include_data<MatrixXd, &computation_along_chromosome::chi2, false>(c, colnames, values, "chi2.pvalue", cac);
+    include_data<MatrixXd, &computation_along_chromosome::chi2_lod, false>(c, colnames, values, "chi2.lod", cac);
+    include_data<MatrixXd, &computation_along_chromosome::coefficients, false>(c, colnames, values, "coef", cac);
+    include_data<MatrixXd, &computation_along_chromosome::ftest_lod, true>(c, colnames, values, "ftest.lod", cac);
+    include_data<MatrixXd, &computation_along_chromosome::ftest_pvalue, true>(c, colnames, values, "ftest.pvalue", cac);
+    include_data<MatrixXd, &computation_along_chromosome::mahalanobis, false>(c, colnames, values, "mahalanobis", cac);
+    include_data<MatrixXd, &computation_along_chromosome::r2, false>(c, colnames, values, "R2", cac);
+    include_data<VectorXd, &computation_along_chromosome::rank, false>(c, colnames, values, "rank", cac);
+    include_data<MatrixXd, &computation_along_chromosome::residuals, false>(c, colnames, values, "residuals", cac);
+    include_data<MatrixXd, &computation_along_chromosome::rss, true>(c, colnames, values, "RSS", cac);
+
+    m_stream.mode(ReportMode::LOD);
+    select_book("computations").select_sheet(MESSAGE("computation " << m_selection_index));
+    m_stream
+    .line(colnames)
+    .matrix(values);
+    select_previous_book();
+    return *this;
+}
+
+
+void
+analysis_report::init_selection_report()
+{
+    static bool must_init = true;
+    if (must_init) {
+        must_init = false;
+        m_stream.mode(ReportMode::AlgoSel);
+        select_book("algo_trace").select_sheet("Computations");
+        m_stream.init_selection_report(std::vector<std::string> {"Index", "Group", "Selection", "Result.score", "Result.locus", "Result.threshold"});
+    }
+}
+
+
+analysis_report&
+analysis_report::report_algo_selection(std::string chrom, double score, double locus, double threshold)
+{
+    init_selection_report();
+    ++m_selection_index;
+    m_stream.mode(ReportMode::AlgoSel);
+    select_book("algo_trace").select_sheet("Computations");
+    m_stream
+    .selection(m_selection_index, chrom, MESSAGE(mm.vMcurrent->keys()), score, locus, threshold);
+//         if (m_what & AR::Model) {
+        select_book("algo_trace").select_sheet(MESSAGE(m_selection_index << " M0"));
+        m_stream
+        .matrix(MESSAGE("M0 (" << mm.vMcurrent->keys() << ")"), mm.vMcurrent->printable_X());
+//         }
+    select_previous_book();
+    return *this;
+}
+
+
+inline
+analysis_report&
+analysis_report::report_model(const model& Mcurrent)
+{
+    std::string modelx = MESSAGE("Final model X");
+    std::string modelxtx = MESSAGE("Final model XtX");
+    m_stream.mode(ReportMode::Model);
+    select_book("models");
+    select_sheet(modelx);
+    m_stream
+    .matrix(modelx, Mcurrent.printable_X());
+    select_sheet(modelxtx);
+    m_stream
+    .matrix(modelxtx, model::xtx_printable(Mcurrent, true).mws);
+    return *this;
+}
+
+analysis_report&
+analysis_report::report_qtls()
+{
+    ComputationType ret = mm.vMcurrent->Y().cols() == 1 ? ComputationType::FTestLOD : ComputationType::Chi2LOD;
+    auto vq = mm.QTLs();
+    auto descr = prepare_qtls(vq, ret);
+    MSG_DEBUG("Have " << descr.size() << " QTL(s) to report.");
+    select_book("report").select_sheet("metadata");
+    m_stream.qtls(descr);
+    return *this;
+}
+
+
+
+void make_report(model_manager& mm, const std::vector<std::string>& cmdline)
+{
+    static std::string emptystr;
+    analysis_report& report = ar_instance();
+    std::string book_name("report");
+    const trait_metadata_type& TM = report.trait_md();
+    mm.vMcurrent->compute();
+    MatrixXd X = mm.vMcurrent->X();
+    std::chrono::time_point<std::chrono::system_clock> tnow = std::chrono::system_clock::now();
+    std::time_t now = std::chrono::system_clock::to_time_t(tnow);
+ 
+    report
+    .report_model(*mm.vMcurrent)
+    .select_book(book_name)
+    .select_sheet("metadata")
+    .line("Spell-QTL")
+    .line()
+    .header(MESSAGE("Report for " << (TM.dim_names.size() > 1 ? "pleiotropic" : "single") << " trait " << mm.trait_name))
+    .line()
+    .line(MESSAGE("Date: " << std::ctime(&now)))
+    .line(MESSAGE("Command line: " << cmdline))
+    .report_qtls()
+    .line();
+    mm.vMcurrent->compute();
+    report.check_constraints();
+    if (mm.vMcurrent->n_obs() <= mm.vMcurrent->dof() + 1) {
+        report.line("* There are not enough observations to compute a variance/covariance matrix. Results not displayed.");
+    } else {
+        report.prepare_computations();
+        for (int i = 0; i < (int) TM.dim_name