R Under development (unstable) (2023-11-28 r85645 ucrt) -- "Unsuffered Consequences"
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> library(expm)
Loading required package: Matrix

Attaching package: 'expm'

The following object is masked from 'package:Matrix':

    expm

> 
> source(system.file("test-tools.R", package= "expm"), keep.source=FALSE)# relErr()
Loading required package: tools
> 
> set.seed(101)
> for(n in c(1:5, 10:11, if(doExtras) 100:101 else 25)) {
+     cat("n = ",n,"\n-----\n")
+     for(i in seq_len(if(doExtras)10 else 3)) {
+         A <- matrix(round(10*rnorm(n^2))/4, n,n)
+         E <- matrix(rnorm(n^2, sd = 1e-3),  n,n)
+         F1 <- expmFrechet(A, E)
+         F2 <- expmFrechet(A, E, "block")
+         if(i == 1 && n < 9) print(F1)
+         stopifnot(all.equal(F1, F2, tol = 6e-15 * n))
+         cat(sprintf("%5.2f ", relErr(F1 $ L, F2 $ L) * 2^52))
+     }
+     cat(" * eps_C \n")
+ }
n =  1 
-----
$expm
          [,1]
[1,] 0.4723666

$Lexpm
             [,1]
[1,] 0.0002609645

 0.00  0.00  0.00  * eps_C 
n =  2 
-----
$expm
           [,1]      [,2]
[1,]  3.7943192 3.9860952
[2,] -0.4428995 0.2511234

$Lexpm
             [,1]          [,2]
[1,] -0.000196749  0.0005570041
[2,] -0.001188989 -0.0019747694

 2.27  1.51  2.97  * eps_C 
n =  3 
-----
$expm
           [,1]       [,2]      [,3]
[1,] -13.234401  -7.815106 -5.911481
[2,]   3.475001 -14.396109 -2.922287
[3,]  -4.792555  -3.230410 -2.237135

$Lexpm
             [,1]        [,2]         [,3]
[1,] -0.006244373  0.03825617  0.006773883
[2,] -0.009314389 -0.01048467 -0.005528605
[3,] -0.003071235  0.01362774  0.002137511

 3.85  7.21  6.22  * eps_C 
n =  4 
-----
$expm
           [,1]       [,2]       [,3]        [,4]
[1,]  0.2707319 -0.1626405  -2.119235 -0.07861206
[2,]  2.0900646 -0.7912464 -14.169394 -0.17449996
[3,]  6.3895316 12.2833412 -18.789145  6.32147099
[4,] -2.2731287 -5.9125055   4.417767 -2.96095147

$Lexpm
              [,1]         [,2]          [,3]          [,4]
[1,]  7.677032e-05  0.001682315 -0.0008184674  0.0009526274
[2,] -1.662466e-03  0.009155436  0.0057316462  0.0050790835
[3,] -4.184527e-03 -0.001231147  0.0132157465  0.0025368226
[4,] -4.704290e-04  0.000236295  0.0019512119 -0.0013450671

 4.21  7.84  0.57  * eps_C 
n =  5 
-----
$expm
          [,1]       [,2]       [,3]        [,4]      [,5]
[1,]  28.89025  -7.887859  -5.470599   0.5944806  9.342582
[2,]  13.49317 -13.253465  34.703223  31.9553150 -3.493428
[3,]  77.39341 -41.002709  78.782028  79.2962299  5.522557
[4,]  32.49178 -16.213884  20.464336  23.6511224  4.510920
[5,] -41.22584  20.972736 -29.288624 -33.2428425 -5.776531

$Lexpm
             [,1]         [,2]        [,3]         [,4]          [,5]
[1,]  0.056099069 -0.036816360  0.09881220  0.086689105 -0.0230892952
[2,] -0.022878412  0.028215505 -0.04468039 -0.041094058  0.0005738551
[3,]  0.047797873 -0.004093659  0.09600680  0.079920949 -0.0371636943
[4,]  0.022749004 -0.006615176  0.04445098  0.036856490 -0.0189132368
[5,]  0.004190808 -0.010861707 -0.01759342 -0.008662979  0.0249103378

 4.75  2.83  2.87  * eps_C 
n =  10 
-----
 3.13  4.72  2.42  * eps_C 
n =  11 
-----
 3.28  3.60  3.22  * eps_C 
n =  25 
-----
 4.08  6.25  4.37  * eps_C 
> 
> cat('Time elapsed: ', proc.time(), '\n') # for "statistical reasons"
Time elapsed:  1.48 0.15 1.62 NA NA 
> 
> proc.time()
   user  system elapsed 
   1.48    0.15    1.62