Prints out tridim_transformation object
Usage
# S3 method for tridim_transformation
print(x, ...)Arguments
- x
A tridim_transformation object
- ...
Unused
Examples
euc2 <- fit_transformation(depV1+depV2~indepV1+indepV2,
data = NakayaData,
transformation = 'euclidean')
#>
#> SAMPLING FOR MODEL 'tridim_transformation' NOW (CHAIN 1).
#> Chain 1:
#> Chain 1: Gradient evaluation took 0 seconds
#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
#> Chain 1: Adjust your expectations accordingly!
#> Chain 1:
#> Chain 1:
#> Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup)
#> Chain 1: Iteration: 200 / 2000 [ 10%] (Warmup)
#> Chain 1: Iteration: 400 / 2000 [ 20%] (Warmup)
#> Chain 1: Iteration: 600 / 2000 [ 30%] (Warmup)
#> Chain 1: Iteration: 800 / 2000 [ 40%] (Warmup)
#> Chain 1: Iteration: 1000 / 2000 [ 50%] (Warmup)
#> Chain 1: Iteration: 1001 / 2000 [ 50%] (Sampling)
#> Chain 1: Iteration: 1200 / 2000 [ 60%] (Sampling)
#> Chain 1: Iteration: 1400 / 2000 [ 70%] (Sampling)
#> Chain 1: Iteration: 1600 / 2000 [ 80%] (Sampling)
#> Chain 1: Iteration: 1800 / 2000 [ 90%] (Sampling)
#> Chain 1: Iteration: 2000 / 2000 [100%] (Sampling)
#> Chain 1:
#> Chain 1: Elapsed Time: 0.101 seconds (Warm-up)
#> Chain 1: 0.089 seconds (Sampling)
#> Chain 1: 0.19 seconds (Total)
#> Chain 1:
euc2
#> Call: depV1 + depV2 ~ indepV1 + indepV2
#> Data dimensions: 2
#> Transformation: euclidean
#>
#> Coefficients:
#> a1 a2 b1 b2
#> [1,] 0.1452721 -0.0076775 1.3433004 -0.5646