Analyze the package with RcppDeepState

[FabrizioSandri]

RcppDeepState Analysis

This pull request aims to find bugs in this R package using RcppDeepState-action

[github-actions]

RcppDeepState Report

function name	message	file line	address trace	R code
factor_corres	53 bytes in 1 blocks are possibly lost in loss record 18 of 1,294	factor_corres.cpp:37	No Address Trace found	Test code testlist <- list(thresh = 1.22699589828999e-23, x = structure(c(5.15702736126211e+262, 1.03483689907204e+100, 4.87527183960461e-25, 1.59025217997469e-230, 9.07587383293201e+266, 6.8552428931963e-84, 1.09610315566683e-208, 2.106562408177e+31, 1.95593778094164e-143, 7.03237502352391e-266, 1.31227139504525e+62, 7.842711004958e-31, 2.06908645814389e-257, 4.18324592966499e+151, 1.32920645756522e+81, 1.4753090770082e+38, 4.0026344248145e-150, 4.11456437933257, 3.16843969409385e-189, 8.6299541817507e+306, 1.33973654554489e+169, 7.38566008125937e-218, 1.39449612049879e+147, 4.88757073619154e-199, 1.53973824526652e+108), .Dim = c(5L, 5L)), y = structure(c(6.25290088921534e+307, 1.02159806864139e+37, 6.19733864503105e-231), .Dim = c(1L, 3L))) result <- do.call(EFAtools:::factor_corres, testlist)
parallel_sim	100 bytes in 1 blocks are possibly lost in loss record 25 of 1,293	parallel.cpp:24	No Address Trace found	Test code testlist <- list(N = 1431507280L, eigen_type = -1830237076L, maxit = 785318464L, n_datasets = -1005056107L, n_vars = 334444604L) result <- do.call(EFAtools:::parallel_sim, testlist)

Analyzed functions summary

function name	tested inputs	inputs with issues
factor_corres	3	1
parallel_sim	3	3

Report details

• Report generated by: 1bf9cc3
• Inputs generator seed: 1662467856