R Under development (unstable) (2024-01-14 r85805 ucrt) -- "Unsuffered Consequences"
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> 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 4.6.4. For overview type ?secr
This is ipsecr 1.4.1. 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  25.49  seconds at  06:31:54 15 Jan 2024 

[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 1.4.1, 06:31:29 15 Jan 2024, 25.49 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\4.4\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
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 36 ]
> 
> proc.time()
   user  system elapsed 
  37.00    3.67   40.67