Running 'testthat.R' [34s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > 
  > # to run manually
  > # test_dir("/Density secr 4.5/ipsecr/tests")
  > 
  > test_check("ipsecr")
  Loading required package: ipsecr
  Loading required package: secr
  This is secr 5.4.2. For overview type ?secr
  This is ipsecr 1.4.4. For overview type ?ipsecr
  Checking data 
  Preparing density design matrix 
  Finding initial parameter values... 
  Initial values  D = 6.1956, g0 = 0.18949, sigma = 28.9877 
  
  Fitting box 1 ...  
            D   lambda0    sigma
  min 1.52384 -1.860194 3.066872
  max 2.12384 -1.260194 3.666872
  
  
  Fitting box 2 ...  
             D   lambda0    sigma
  min 1.739366 -1.395321 3.319872
  max 1.839366 -1.295321 3.419872
  
  
  Fitting box 3 ...  
             D   lambda0    sigma
  min 1.753091 -1.469715 3.323744
  max 1.853091 -1.369715 3.423744
  
  Simulations per vertex, by box :  60, 40, 60 
  
  Simulating for variance ...
  
  500  variance simulations successful
   
  Completed in  23.55  seconds at  14:56:11 17 Mar 2026 
  
  [1] "ipsecr.fit( capthist = ch, mask = msk, detectfn = HHN, details = list(var.nsim = 500, boxsize1 = 0.3, dev.max = c(0.005, 0.005)), verbose = TRUE, ncores = 1 )"
  ipsecr 1.4.4, 14:55:47 17 Mar 2026, 23.55 seconds
  
  Detector type      single 
  Detector number    40 
  Average spacing    30 m 
  x-range            365 455 m 
  y-range            365 635 m 
  
  N animals       :  37 
  N detections    :  83 
  N occasions     :  5 
  Mask area       :  13.66625 ha 
  
  Model           :  D~1 lambda0~1 sigma~1 
  Fixed (real)    :  none 
  Detection fn    :  hazard halfnormal 
  Distribution    :  poisson 
  N parameters    :  3 
  
  Design points   :  11 
  Simulations per point for each box 
  1 60 
  2 40 
  3 60 
  
  Beta parameters (coefficients) 
               beta   SE.beta       lcl        ucl
  D        1.803105 0.2112888  1.388986  2.2172230
  lambda0 -1.416582 0.2579696 -1.922194 -0.9109713
  sigma    3.369799 0.1223255  3.130045  3.6095525
  
  Variance-covariance matrix of beta parameters 
                     D      lambda0       sigma
  D        0.044642952  0.003728399 -0.01363963
  lambda0  0.003728399  0.066548317 -0.01366352
  sigma   -0.013639634 -0.013663522  0.01496353
  
  Variance bootstrap 
               target nsim  simulated SE.simulated       q025     median
  logn      3.6109179  500  3.6038249 0.0003017533  3.3131115  3.6109179
  cloglogp -0.5185504  500 -0.5204132 0.0002258804 -0.7672123 -0.5144371
  logRPSV   3.1845502  500  3.1870661 0.0001733235  3.0079319  3.1857435
                 q975
  logn      3.8918203
  cloglogp -0.3173856
  logRPSV   3.3497604
  
  Fitted (real) parameters evaluated at base levels of covariates 
          link   estimate SE.estimate        lcl        ucl
  D        log  6.0684585  1.29664150  4.0107819  9.1817979
  lambda0  log  0.2425415  0.06362387  0.1462857  0.4021335
  sigma    log 29.0726786  3.56967573 22.8750147 36.9495125
  
  Reading layer `OVforest' from data source 
    `D:\RCompile\CRANpkg\lib\4.6\secr\extdata\OVforest.shp' using driver `ESRI Shapefile'
  Simple feature collection with 3 features and 1 field
  Geometry type: MULTIPOLYGON
  Dimension:     XY
  Bounding box:  xmin: 2674402 ymin: 5982130 xmax: 2675402 ymax: 5983130
  Projected CRS: NZGD49 / New Zealand Map Grid