Closed
Description
Armadillo 14.4.0 has been released, and it brings the usual set of incremental improvements.
@conradsnicta and I have been examining a series of reverse-dependency checks leading up to it. Relative to the by-now rather large number of over 1200 reverse-dependencies, we found a fairly small number of packages requiring minor changes to accomodate both 14.2.* and 14.4.0. We plan link a set of pull requests or patches here allowing those packages to update at CRAN before we start publishing the 14.4.* series there. We will edit and update this issue to track this.
- circlus
no public reporepo, mirror, patch to version 0.0.1 below, emailed 2025-02-17, committed 2025-02-17, version 0.0.2 on CRAN 2025-02-19 - fdasrvf repo, pull request fdasrvf_R/#56 made 2025-02-17, merged 2025-02-17, new version 2.3.6 on CRAN 2025-02-17
- MSTest repo, pull request MSTest/#2 made 2025-02-17, pr closed 2025-02-24, version 0.1.5 on CRAN 2025-02-24
- OSFD no public repo, mirror, patch to version 3.0 below, emailed 2025-02-17, release 3.1 on CRAN 2025-03-03
- PAGFL repo, pull request PAGLF/#1 made 2025-02-17, merged 2025-02-18, release 1.1.3 on CRAN 2025-02-20
- TSLA no public repo, mirror, patch to version 0.1.1 below, emailed 2025-02-17, release 0.1.2 on CRAN 2025-03-17
- UComp no public repo, mirror, patch to version 5.0.5 below. emailed 2025-02-17, release 5.0.6 on CRAN 2025-02-28
- watson repo, fix committed 2025-02-17, release 0.6.0 on CRAN 2025-02-19
Patch for circlus
diff -ru circlus.orig/src/rpkbd.cpp circlus/src/rpkbd.cpp
--- circlus.orig/src/rpkbd.cpp 2024-09-30 16:01:01.000000000 +0200
+++ circlus/src/rpkbd.cpp 2025-02-17 15:05:12.670055188 +0100
@@ -17,7 +17,7 @@
// [[Rcpp::export]]
arma::mat rPKBD_ACG(int n, double rho, arma::vec &mu){
double lambda = 2*rho/(1+rho*rho);
- double norm = as_scalar(sum(pow(mu,2)));
+ double norm = arma::as_scalar(sum(pow(mu,2)));
int p = mu.n_elem;
arma::mat A(n, p);
if(lambda == 0 || norm == 0){/*uniform*/
diff -ru circlus.orig/src/sCauchy.cpp circlus/src/sCauchy.cpp
--- circlus.orig/src/sCauchy.cpp 2024-10-07 16:45:02.000000000 +0200
+++ circlus/src/sCauchy.cpp 2025-02-17 15:05:58.904572081 +0100
@@ -85,7 +85,7 @@
//' @export
// [[Rcpp::export]]
arma::mat rspcauchy(int n, double rho, arma::vec &mu){
- double norm = as_scalar(sum(pow(mu,2)));
+ double norm = arma::as_scalar(sum(pow(mu,2)));
int p = mu.n_elem;
arma::mat A(n, p);
A = normalise(A.randn(),2,1);
Patch for OSFD
diff -ru OSFD.orig/src/OSFD.cpp OSFD/src/OSFD.cpp
--- OSFD.orig/src/OSFD.cpp 2025-01-13 05:09:45.000000000 +0100
+++ OSFD/src/OSFD.cpp 2025-02-17 18:05:05.733625385 +0100
@@ -183,7 +183,7 @@
Z_norm(i) = arma::norm(Z.row(i));// the norm of the Z vector
}
Z = Z / (Z_norm * Ones);
- U = pow(U, 1./p);
+ U = arma::pow(U, 1./p);
out = (U * Ones) % Z;
return (out);
}
@@ -414,9 +414,7 @@
int intrinsic_dim = std::min(p, q);
// double out_vol = arma::sum(arma::pow(filldist_out, intrinsic_dim)) *
// std::pow(M_PI, intrinsic_dim/2.0) / std::tgamma(intrinsic_dim/2.0 + 1);
- double alpha = arma::as_scalar(arma::pow(arma::mean(arma::pow(filldist_out, intrinsic_dim)), 1.0/intrinsic_dim)) /
- arma::as_scalar(arma::pow(arma::mean(arma::pow(filldist_in, p)), 1.0/p));
-
+ double alpha = std::pow(arma::as_scalar(arma::mean(arma::pow(filldist_out, intrinsic_dim))), 1.0/intrinsic_dim) / std::pow(arma::as_scalar(arma::mean(arma::pow(filldist_in, p))), 1.0/p);
arma::vec balance_cri = lambda * filldist_in + (1-lambda) * filldist_out / alpha;
// Find the index with the maximum balance criterionPatch for TSLA
diff -ru TSLA.orig/src/SPGlinear.cpp TSLA/src/SPGlinear.cpp
--- TSLA.orig/src/SPGlinear.cpp 2023-11-30 17:01:35.000000000 +0100
+++ TSLA/src/SPGlinear.cpp 2025-02-17 18:58:22.419621673 +0100
@@ -20,7 +20,7 @@
int V = g_idx.n_rows;
for(int v = 0; v < V; v ++) {
arma::vec idx = g_idx.row(v).cols(0, 1).t();
- arma::vec unorm = max(ones(1), sqrt(sum(pow(u.rows(idx(0) - 1, idx(1) - 1), 2))));
+ arma::vec unorm = max(ones(1), arma::vec{ sqrt(sum(pow(u.rows(idx(0) - 1, idx(1) - 1), 2))) } );
R.rows(idx(0) - 1, idx(1) - 1) = u.rows(idx(0) - 1, idx(1) - 1) / as_scalar(unorm);
}
return(R);Patch for UComp
diff -ru UComp.orig/src/stats.h UComp/src/stats.h
--- UComp.orig/src/stats.h 2024-07-07 12:05:45.000000000 +0200
+++ UComp/src/stats.h 2025-02-17 19:12:12.180827684 +0100
@@ -404,9 +404,9 @@
int nNan, n = y.n_elem;
vec yn = removeNans(y, nNan);
yn = yn - mean(yn);
- vec media3 = mean(pow(yn, 3));
- vec media4 = mean(pow(yn, 4));
- vec stdb = sqrt(mean(pow(yn, 2)));
+ vec media3; media3 = mean(pow(yn, 3));
+ vec media4; media4 = mean(pow(yn, 4));
+ vec stdb; stdb = sqrt(mean(pow(yn, 2)));
vec skew = media3 / pow(stdb, 3);
vec kurto = media4 / pow(stdb, 4) - 3;
bj = (n - nNan) / 6 * (pow(as_scalar(skew), 2) + pow(as_scalar(kurto), 2) / 4);Metadata
Metadata
Assignees
Labels
No labels