コード例 #1
0
ファイル: pdag2dag.c プロジェクト: cran/bnlearn
/* return the complete orientation of a graph (the nodes argument gives
  * the node ordering). */
SEXP pdag2dag(SEXP arcs, SEXP nodes) {

int i = 0, j = 0, n = length(nodes);
int *a = NULL;
SEXP amat, res;

  /* build the adjacency matrix. */
  PROTECT(amat = arcs2amat(arcs, nodes));
  a = INTEGER(amat);

  /* scan the adjacency matrix. */
  for (i = 0; i < n; i++) {

    for (j = i + 1; j < n; j++) {

      /* if an arc is undirected, kill the orientation that violates the
       * specified node ordering (the one which is located in the lower
       * half of the matrix). */
      if ((a[CMC(i, j, n)] == 1) && (a[CMC(j, i, n)] == 1))
        a[CMC(j, i, n)] = 0;

    }/*FOR*/

  }/*FOR*/

  /* build the return value. */
  PROTECT(res = amat2arcs(amat, nodes));

  UNPROTECT(2);

  return res;

}/*PDAG2DAG*/
コード例 #2
0
ファイル: bootstrap.c プロジェクト: cran/bnlearn
/* adjusted arc counting for boot.strength(). */
SEXP bootstrap_strength_counters(SEXP prob, SEXP weight, SEXP arcs, SEXP nodes) {

int i = 0, j = 0, n = length(nodes), *a = NULL;
double *p = NULL, *w = NULL;
SEXP amat;

  /* build the adjacency matrix for the current network. */
  PROTECT(amat = arcs2amat(arcs, nodes));

  /* map the contents of the SEXPs for easy access.  */
  a = INTEGER(amat);
  p = REAL(prob);
  w = REAL(weight);

  for (i = 0; i < n; i++) {

    for (j = 0; j < n; j++) {

      /* increase the counter of 1/2 for an undirected arc (the other half
       * is added to the symmetric element in the matrix) or of 1 for a
       * direcxted arc. */
      if (a[CMC(i, j, n)] == 1) {

        if (a[CMC(j, i, n)] == 1)
          p[CMC(i, j, n)] += 0.5 * (*w);
        else
          p[CMC(i, j, n)] += 1 * (*w);

      }/*THEN*/

    }/*FOR*/

  }/*FOR*/

  UNPROTECT(1);
  return prob;

}/*BOOTSTRAP_STRENGTH*/
コード例 #3
0
ファイル: cextend.c プロジェクト: cran/bnlearn
/* construct a consistent DAG extension of a CPDAG. */
SEXP pdag_extension(SEXP arcs, SEXP nodes, SEXP debug) {

int i = 0, j = 0, k = 0, t = 0, nnodes = length(nodes);
int changed = 0, left = nnodes;
int *a = NULL, *nbr = NULL, debuglevel = isTRUE(debug);
short int *matched = NULL;
SEXP amat, result;

  /* build and dereference the adjacency matrix. */
  PROTECT(amat = arcs2amat(arcs, nodes));
  a = INTEGER(amat);

  /* allocate and initialize the neighbours and matched vectors. */
  nbr = Calloc1D(nnodes, sizeof(int));
  matched = Calloc1D(nnodes, sizeof(short int));

  for (t = 0; t < nnodes; t++) {

    if (debuglevel > 0) {

      Rprintf("----------------------------------------------------------------\n");
      Rprintf("> performing pass %d.\n", t + 1);
      Rprintf("> candidate nodes: ");
        for (j = 0; j < nnodes; j++)
          if (matched[j] == 0)
            Rprintf("%s ", NODE(j));
      Rprintf("\n");

    }/*THEN*/

    for (i = 0; i < nnodes; i++) {

      /* if the node is already ok, skip it. */
      if (matched[i] != 0)
        continue;

      /* check whether the node is a sink (that is, whether is does not have
       * any child). */
      is_a_sink(a, i, &k, nnodes, nbr, matched);

      /* if the node is not a sink move on. */
      if (k == -1) {

        if (debuglevel > 0)
          Rprintf("  * node %s is not a sink.\n", NODE(i));

        continue;

      }/*THEN*/
      else {

        if (debuglevel > 0)
          Rprintf("  * node %s is a sink.\n", NODE(i));

      }/*ELSE*/

      if (!all_adjacent(a, i, k, nnodes, nbr)) {

        if (debuglevel > 0)
          Rprintf("  * not all nodes linked to %s by an undirected arc are adjacent.\n", NODE(i));

        continue;

      }/*THEN*/
      else {

        if (debuglevel > 0) {

          if (k == 0)
            Rprintf("  * no node is linked to %s by an undirected arc.\n", NODE(i));
          else
            Rprintf("  * all nodes linked to %s by an undirected arc are adjacent.\n", NODE(i));

        }/*THEN*/

      }/*ELSE*/

      /* the current node meets all the conditions, direct all the arcs towards it. */
      if (k == 0) {

        if (debuglevel > 0)
          Rprintf("  @ no undirected arc to direct towards %s.\n", NODE(i));

      }/*THEN*/
      else {

        for (j = 0; j < k; j++)
          a[CMC(i, nbr[j], nnodes)] = 0;

        if (debuglevel > 0)
          Rprintf("  @ directing all incident undirected arcs towards %s.\n", NODE(i));

      }/*ELSE*/

      /* set the changed flag. */
      changed = 1;

      /* exclude the node from later iterations. */
      matched[i] = 1;
      left--;

    }/*FOR*/

    /* if nothing changed in the last iteration or there are no more candidate
     * nodes, there is nothing else to do. */
    if ((changed == 0) || (left == 0))
      break;
    else
      changed = 0;

  }/*FOR*/

  /* build the new arc set from the adjacency matrix. */
  PROTECT(result = amat2arcs(amat, nodes));

  Free1D(nbr);
  Free1D(matched);
  UNPROTECT(2);

  return result;

}/*PDAG_EXTENSION*/
コード例 #4
0
ファイル: acyclic.c プロジェクト: gasse/bnlearn-clone-3.4
SEXP is_pdag_acyclic(SEXP arcs, SEXP nodes, SEXP return_nodes, 
    SEXP directed, SEXP debug) {

int i = 0, j = 0, z = 0;
int nrows = LENGTH(nodes);
int check_status = nrows, check_status_old = nrows;
int *rowsums = NULL, *colsums = NULL, *crossprod = NULL, *a = NULL;
int *debuglevel = NULL;
short int *status = NULL;
SEXP amat;

  /* dereference the debug parameter. */
  debuglevel = LOGICAL(debug);

  /* build the adjacency matrix from the arc set.  */
  if (*debuglevel > 0)
    Rprintf("* building the adjacency matrix.\n");

  PROTECT(amat = arcs2amat(arcs, nodes));
  a = INTEGER(amat);

  /* should we consider only directed arcs? */
  if (isTRUE(directed)) {

    /* removing undirected arcs, so that only cycles made only of directed
     * arcs will make the function return TRUE. */

    for (i = 0; i < nrows; i++)
      for (j = 0; j < nrows; j++)
        if ((a[CMC(i, j, nrows)] == 1) && (a[CMC(j, i, nrows)] == 1))
          a[CMC(i, j, nrows)] = a[CMC(j, i, nrows)] = 0;

  }/*THEN*/

  /* initialize the status, {row,col}sums and crossprod arrays. */
  status = allocstatus(nrows);
  rowsums = alloc1dcont(nrows);
  colsums = alloc1dcont(nrows);
  crossprod = alloc1dcont(nrows);

  if (*debuglevel > 0)
    Rprintf("* checking whether the partially directed graph is acyclic.\n");

  /* even in the worst case scenario at least two nodes are marked as
   * good at each iteration, so even ceil(nrows/2) iterations should be
   * enough. */
  for (z = 0; z < nrows; z++) {

start:

    if (*debuglevel > 0)
      Rprintf("* beginning iteration %d.\n", z + 1);

    for (i = 0; i < nrows; i++) {

      /* skip known-good nodes. */
      if (status[i] == GOOD) continue;

      /* reset and update row and column totals. */
      rowsums[i] = colsums[i] = crossprod[i] = 0;

      /* compute row and column totals for the i-th node. */
      for (j = 0; j < nrows; j++) {

        rowsums[i] += a[CMC(i, j, nrows)];
        colsums[i] += a[CMC(j, i, nrows)];
        crossprod[i] += a[CMC(i, j, nrows)] * a[CMC(j, i, nrows)];

      }/*FOR*/

there:

      if (*debuglevel > 0)
        Rprintf("  > checking node %s (%d child(ren), %d parent(s), %d neighbours).\n",
          NODE(i), rowsums[i], colsums[i], crossprod[i]);

      /* if either total is zero, the node is either a root node or a
       * leaf node, and is not part of any cycle. */
      if (((rowsums[i] == 0) || (colsums[i] == 0)) ||
          ((crossprod[i] == 1) && (rowsums[i] == 1) && (colsums[i] == 1))) {

        if (*debuglevel > 0)
          Rprintf("  @ node %s is cannot be part of a cycle.\n", NODE(i));

        /* update the adjacency matrix and the row/column totals. */
        for (j = 0; j < nrows; j++)
          a[CMC(i, j, nrows)] = a[CMC(j, i, nrows)] = 0;

        rowsums[i] = colsums[i] = crossprod[i] = 0;

        /* mark the node as good. */
        status[i] = GOOD;
        check_status--;

      }/*THEN*/
      else if (crossprod[i] == 1) {

        /* find the other of the undirected arc. */
        for (j = 0; j < i; j++)
          if (a[CMC(i, j, nrows)] * a[CMC(j, i, nrows)] == 1)
            break;

        /* safety check, just in case. */
        if (i == j) continue;

        if (((colsums[i] == 1) && (colsums[j] == 1)) ||
            ((rowsums[i] == 1) && (rowsums[j] == 1))) {

          if (*debuglevel > 0)
            Rprintf("  @ arc %s - %s is cannot be part of a cycle.\n", NODE(i), NODE(j));

          /* update the adjacency matrix and the row/column totals. */
          a[CMC(i, j, nrows)] = a[CMC(j, i, nrows)] = 0;
          crossprod[i] = 0;
          rowsums[i]--;
          colsums[i]--;
          rowsums[j]--;
          colsums[j]--;

          /* jump back to the first check; if either the row or column total
           * was equal to 1 only because of the undirected arc, the node can
           * now be marked as good. */
          if ((rowsums[i] == 0) || (colsums[i] == 0))
            goto there;

        }/*THEN*/

      }/*THEN*/

    }/*FOR*/

    /* at least three nodes are needed to have a cycle. */
    if (check_status < 3) {

      if (*debuglevel > 0)
        Rprintf("@ at least three nodes are needed to have a cycle.\n");

      UNPROTECT(1);
      return build_return_array(nodes, status, nrows, check_status, return_nodes);

    }/*THEN*/

    /* if there are three or more bad nodes and there was no change in
     * the last iteration, the algorithm is stuck on a cycle. */
    if (check_status_old == check_status) {

      if (*debuglevel > 0)
        Rprintf("@ no change in the last iteration.\n");

      /* give up and call c_has_path() to kill some undirected arcs. */
      for (i = 0; i < nrows; i++)
        for (j = 0; j < i; j++)
          if (a[CMC(i, j, nrows)] * a[CMC(j, i, nrows)] == 1) {

            /* remove the arc from the adjacency matrix while testing it,
             * there's a path is always found (the arc itself). */
            a[CMC(i, j, nrows)] = a[CMC(j, i, nrows)] = 0;

            if(!c_has_path(i, j, INTEGER(amat), nrows, nodes, FALSE, TRUE, FALSE) &&
               !c_has_path(j, i, INTEGER(amat), nrows, nodes, FALSE, TRUE, FALSE)) {

              if (*debuglevel > 0)
                Rprintf("@ arc %s - %s is not part of any cycle, removing.\n", NODE(i), NODE(j));

              /* increase the iteration counter and start again. */
              z++;
              goto start;

            }/*THEN*/
            else {

              /* at least one cycle is really present; give up and return.  */
              UNPROTECT(1);
              return build_return_array(nodes, status, nrows, check_status, return_nodes);

            }/*ELSE*/

          }/*THEN*/

      /* give up if there are no undirected arcs, cycles composed
       * entirely by directed arcs are never false positives. */
      UNPROTECT(1);
      return build_return_array(nodes, status, nrows, check_status, return_nodes);

    }/*THEN*/
    else {

      check_status_old = check_status;

    }/*ELSE*/

  }/*FOR*/

  UNPROTECT(1);
  return build_return_array(nodes, status, nrows, check_status, return_nodes);

}/*IS_PDAG_ACYCLIC*/
コード例 #5
0
ファイル: hc.cache.lookup.c プロジェクト: cran/bnlearn
SEXP hc_to_be_added(SEXP arcs, SEXP blacklist, SEXP whitelist, SEXP nparents,
    SEXP maxp, SEXP nodes, SEXP convert) {

int i = 0, j = 0, narcs = 0, dims = length(nodes);
int *a = NULL, *coords = NULL;
double *mp = REAL(maxp), *np = NULL;
short int referenced = 0;
SEXP try, result = R_NilValue, result2;

  /* transform the arc set into an adjacency matrix, if it's not one already. */
  if (isInteger(arcs)) {

    if ((referenced = MAYBE_REFERENCED(arcs)))
      PROTECT(result = duplicate(arcs));

  }/*THEN*/
  else {

    PROTECT(result = arcs2amat(arcs, nodes));

  }/*ELSE*/

  /* dereference the adjacency matrix once and for all. */
  a = INTEGER(result);

  /* compute the number the parents of each node, unless provided. */
  if (nparents == R_NilValue) {

    np = Calloc1D(dims, sizeof(double));
    for (i = 0; i < dims; i++)
      for (j = 0; j < dims; j++)
        np[j] = a[CMC(i, j, dims)];

  }/*THEN*/
  else {

    np = REAL(nparents);

  }/*ELSE*/

  /* flip all the nondiagonal cells. */
  for (j = 0; j < dims; j++) {

    for (i = 0; i < dims; i++) {

      /* diagonal elements are always equal to zero, skip them. */
      if (i == j)
        continue;

      a[CMC(i, j, dims)] = 1 - a[CMC(i, j, dims)];

    }/*FOR*/

  }/*FOR*/

  /* if an arc is present in the graph in one direction, you cannot add it in
   * the other direction (it would be a reversal); flip both in the adjacency
   * matrix. */
  for (j = 0; j < dims; j++)
    for (i = j + 1; i < dims; i++)
      a[CMC(j, i, dims)] = a[CMC(i, j, dims)] = a[CMC(i, j, dims)] * a[CMC(j, i, dims)];

  /* if a node has already reached its maximum number parents, do not add
   * more arcs pointing to that node. */
  for (j = 0; j < dims; j++)
    if (np[j] >= *mp)
      memset(a + j * dims, '\0', dims * sizeof(int));

#define FLIP_FROM_LIST(list, value) \
  if (!isNull(list)) { \
    if (!isInteger(list)) { \
      PROTECT(try = match(nodes, list, 0)); \
      coords = INTEGER(try); \
      narcs = length(try)/2; \
      for (i = 0; i < narcs; i++)  \
        a[CMC(coords[i] - 1, coords[i + narcs] - 1, dims)] = value; \
      UNPROTECT(1); \
    }/*THEN*/ \
    else { \
      coords = INTEGER(list); \
      for (i = 0; i < dims * dims; i ++) \
        if (coords[i] == 1) \
          a[i] = value; \
    }/*ELSE*/ \
  }/*THEN*/

  /* now the blacklist gets involved. */
  FLIP_FROM_LIST(blacklist, 0);
  /* and, last but not least, the whitelist gets involved. */
  FLIP_FROM_LIST(whitelist, 1);

  if (nparents == R_NilValue)
    Free1D(np);

  /* return either the adjacency matrix or the arc set. */
  if (isTRUE(convert)) {

    PROTECT(result2 = amat2arcs(result, nodes));

    if (referenced || !isInteger(arcs))
      UNPROTECT(2);
    else
      UNPROTECT(1);
    return result2;

  }/*THEN*/
  else {

    if (referenced || !isInteger(arcs))
      UNPROTECT(1);
    return result;

  }/*ELSE*/

}/*HC_TO_BE_ADDED*/
コード例 #6
0
ファイル: acyclic.c プロジェクト: gasse/bnlearn-clone
SEXP is_dag_acyclic(SEXP arcs, SEXP nodes, SEXP return_nodes, SEXP debug) {

SEXP amat;
int i = 0, j = 0, z = 0;
int nrows = LENGTH(nodes);
int check_status = nrows;
int check_status_old = nrows;
int rowsums, colsums;
int *a = NULL, *debuglevel = NULL;
short int *status = NULL;

  /* dereference the debug parameter. */
  debuglevel = LOGICAL(debug);

  /* build the adjacency matrix from the arc set.  */
  if (*debuglevel > 0)
    Rprintf("* building the adjacency matrix.\n");

  PROTECT(amat = arcs2amat(arcs, nodes));
  a = INTEGER(amat);

  /* allocate and initialize the status array. */
  status = allocstatus(nrows);

  if (*debuglevel > 0)
    Rprintf("* checking whether the directed graph is acyclic.\n");

  /* even in the worst case scenario at least two nodes are marked as
   * good at each iteration, so even ceil(nrows/2) iterations should be
   * enough. */
  for (z = 0; z < nrows; z++) {

    if (*debuglevel > 0)
      Rprintf("* beginning iteration %d.\n", z + 1);

    for (i = 0; i < nrows; i++) {

      /* skip known-good nodes. */
      if (status[i] == GOOD) continue;

      /* reset and update row and column totals. */
      rowsums = colsums = 0;

      /* compute row and column totals for the i-th node. */
      for (j = 0; j < nrows; j++) {

        rowsums += a[CMC(i, j, nrows)];
        colsums += a[CMC(j, i, nrows)];

      }/*FOR*/

      if (*debuglevel > 0)
        Rprintf("  > checking node %s (%d child(ren), %d parent(s)).\n",
          NODE(i), rowsums, colsums);

      /* if either total is zero, the node is either a root node or a
       * leaf node, and is not part of any cycle. */
      if ((rowsums == 0) || (colsums == 0)) {

        if (*debuglevel > 0)
          Rprintf("  @ node %s is cannot be part of a cycle.\n", NODE(i));

        for (j = 0; j < nrows; j++)
          a[CMC(i, j, nrows)] = a[CMC(j, i, nrows)] = 0;

        /* mark the node as good. */
        status[i] = GOOD;
        check_status--;

      }/*THEN*/

    }/*FOR*/

    /* at least three nodes are needed to have a cycle. */
    if (check_status < 3) {

      if (*debuglevel > 0)
        Rprintf("@ at least three nodes are needed to have a cycle.\n");

      UNPROTECT(1);
      return build_return_array(nodes, status, nrows, check_status, return_nodes);

    }/*THEN*/

    /* if there are three or more bad nodes and there was no change in
     * the last iteration, the algorithm is stuck on a cycle. */
    if (check_status_old == check_status) {

      if (*debuglevel > 0)
        Rprintf("@ no change in the last iteration.\n");

      UNPROTECT(1);
      return build_return_array(nodes, status, nrows, check_status, return_nodes);

    }/*THEN*/
    else
      check_status_old = check_status;

  }/*FOR*/

  UNPROTECT(1);
  return build_return_array(nodes, status, nrows, check_status, return_nodes);

}/*IS_DAG_ACYCLIC*/