Package check result: OK

Changes to worse in reverse depends:

Package: vsp
Check: tests
New result: ERROR
    Running ‘testthat.R’ [8s/8s]
  Running the tests in ‘tests/testthat.R’ failed.
  Complete output:
    > library(testthat)
    > library(vsp)
    > 
    > test_check("vsp")
    Loading required package: Matrix
    [ FAIL 2 | WARN 0 | SKIP 0 | PASS 20 ]
    
    ══ Failed tests ════════════════════════════════════════════════════════════════
    ── Error ('test-scale-consistency.R:10:3'): SVD and factor reconstructions match ──
    <std::runtime_error/C++Error/error/condition>
    Error: TridiagEigen: eigen decomposition failed
    Backtrace:
        ▆
     1. ├─vsp::vsp(A, rank = 5) at test-scale-consistency.R:10:3
     2. └─vsp:::vsp.dgCMatrix(A, rank = 5)
     3.   ├─RSpectra::svds(L, k = rank, nu = rank, nv = rank)
     4.   └─RSpectra:::svds.dgCMatrix(L, k = rank, nu = rank, nv = rank)
     5.     └─RSpectra (local) fun(A, k, nu, nv, opts, mattype = "dgCMatrix")
    ── Error ('test-scale-consistency.R:20:3'): SVD and factor reconstructions match, scaling ──
    <std::runtime_error/C++Error/error/condition>
    Error: TridiagEigen: eigen decomposition failed
    Backtrace:
        ▆
     1. ├─vsp::vsp(A, rank = 5, degree_normalize = TRUE) at test-scale-consistency.R:20:3
     2. └─vsp:::vsp.dgCMatrix(A, rank = 5, degree_normalize = TRUE)
     3.   ├─RSpectra::svds(L, k = rank, nu = rank, nv = rank)
     4.   └─RSpectra:::svds.dgCMatrix(L, k = rank, nu = rank, nv = rank)
     5.     └─RSpectra (local) fun(A, k, nu, nv, opts, mattype = "dgCMatrix")
    
    [ FAIL 2 | WARN 0 | SKIP 0 | PASS 20 ]
    Error: Test failures
    Execution halted