Simulate prior distribution
Examples
eta<-seq(-6,6,by=0.1)
compute_map(eta=eta,mean=0,sd=1)
#> [1] 6.075883e-10 1.101576e-09 1.977320e-09 3.513955e-09 6.182621e-09 1.076976e-08 1.857362e-08 3.171349e-08 5.361035e-08 8.972435e-08 1.486720e-07 2.438961e-07 3.961299e-07 6.369825e-07 1.014085e-06
#> [16] 1.598374e-06 2.494247e-06 3.853520e-06 5.894307e-06 8.926166e-06 1.338302e-05 1.986555e-05 2.919469e-05 4.247803e-05 6.119019e-05 8.726827e-05 1.232219e-04 1.722569e-04 2.384088e-04 3.266819e-04
#> [31] 4.431848e-04 5.952532e-04 7.915452e-04 1.042093e-03 1.358297e-03 1.752830e-03 2.239453e-03 2.832704e-03 3.547459e-03 4.398360e-03 5.399097e-03 6.561581e-03 7.895016e-03 9.404908e-03 1.109208e-02
#> [46] 1.295176e-02 1.497275e-02 1.713686e-02 1.941861e-02 2.178522e-02 2.419707e-02 2.660853e-02 2.896916e-02 3.122539e-02 3.332246e-02 3.520653e-02 3.682701e-02 3.813878e-02 3.910427e-02 3.969525e-02
#> [61] 3.989423e-02 3.969525e-02 3.910427e-02 3.813878e-02 3.682701e-02 3.520653e-02 3.332246e-02 3.122539e-02 2.896916e-02 2.660853e-02 2.419707e-02 2.178522e-02 1.941861e-02 1.713686e-02 1.497275e-02
#> [76] 1.295176e-02 1.109208e-02 9.404908e-03 7.895016e-03 6.561581e-03 5.399097e-03 4.398360e-03 3.547459e-03 2.832704e-03 2.239453e-03 1.752830e-03 1.358297e-03 1.042093e-03 7.915452e-04 5.952532e-04
#> [91] 4.431848e-04 3.266819e-04 2.384088e-04 1.722569e-04 1.232219e-04 8.726827e-05 6.119019e-05 4.247803e-05 2.919469e-05 1.986555e-05 1.338302e-05 8.926166e-06 5.894307e-06 3.853520e-06 2.494247e-06
#> [106] 1.598374e-06 1.014085e-06 6.369825e-07 3.961299e-07 2.438961e-07 1.486720e-07 8.972435e-08 5.361035e-08 3.171349e-08 1.857362e-08 1.076976e-08 6.182621e-09 3.513955e-09 1.977320e-09 1.101576e-09
#> [121] 6.075883e-10