Assign random priors. This is mostly used with the simulate_disease() function.
Arguments
- ...
Any parameter used in
set_priors()that will remain fixed (not random).
Examples
#Get random priors
random_priors()
#> $mu_intercept_param_1
#> [1] 0.1496794
#>
#> $mu_intercept_param_2
#> [1] 0.4333211
#>
#> $mu_0_param_1
#> [1] -0.01030332
#>
#> $mu_0_param_2
#> [1] 0.787764
#>
#> $nu_intercept_param_1
#> [1] -0.9063402
#>
#> $nu_intercept_param_2
#> [1] 1.102152
#>
#> $nu_0_param_1
#> [1] 1.89336
#>
#> $nu_0_param_2
#> [1] 0.03187416
#>
#> $c_0_param_1
#> [1] -0.102603
#>
#> $c_0_param_2
#> [1] 1.23996
#>
#> $ctilde_0_param_1
#> [1] 0.06089889
#>
#> $ctilde_0_param_2
#> [1] 1.177576
#>
#> $sd_mu_param_1
#> [1] 0.1178601
#>
#> $sd_mu_param_2
#> [1] 1.112295
#>
#> $sd_nu_param_1
#> [1] 0.007886198
#>
#> $sd_nu_param_2
#> [1] 2.877744
#>
#> $sd_c_param_1
#> [1] 2.158757
#>
#> $sd_c_param_2
#> [1] 1.709715
#>
#> $sd_ctilde_param_1
#> [1] 0.7669834
#>
#> $sd_ctilde_param_2
#> [1] 0.6917886
#>
#> $sd_m_param_1
#> [1] 1.012002
#>
#> $sd_m_param_2
#> [1] 0.0809484
#>
#> $sd_dow_epi_param_1
#> [1] 0.5633801
#>
#> $sd_dow_epi_param_2
#> [1] 1.322483
#>
#> $sd_wkend_epi_param_1
#> [1] 0.3666744
#>
#> $sd_wkend_epi_param_2
#> [1] 2.129835
#>
#> $sd_dom_epi_param_1
#> [1] 0.9414981
#>
#> $sd_dom_epi_param_2
#> [1] 1.217838
#>
#> $sd_month_epi_param_1
#> [1] 1.415412
#>
#> $sd_month_epi_param_2
#> [1] 0.616267
#>
#> $sd_week_epi_param_1
#> [1] 0.1740864
#>
#> $sd_week_epi_param_2
#> [1] 0.7782555
#>
#> $sd_holidays_epi_param_1
#> [1] 1.009529
#>
#> $sd_holidays_epi_param_2
#> [1] 1.480725
#>
#> $dof
#> [1] 7
#>
#> $control_k_transform
#> [1] 2
#>
#> $control_c_transform
#> [1] 0.5
#>
#Get random priors except for mu_0_param_1 which is fixed at 1 and nu_0_param_2 fixed at 0.5
random_priors(mu_0_param_1 = 1, nu_0_param_2 = 0.5)
#> $mu_intercept_param_1
#> [1] 1.604407
#>
#> $mu_intercept_param_2
#> [1] 0.5150245
#>
#> $mu_0_param_1
#> [1] -1.416024
#>
#> $mu_0_param_2
#> [1] 1.876777
#>
#> $nu_intercept_param_1
#> [1] 0.6241324
#>
#> $nu_intercept_param_2
#> [1] 3.112277
#>
#> $nu_0_param_1
#> [1] -0.3561244
#>
#> $nu_0_param_2
#> [1] 0.06446421
#>
#> $c_0_param_1
#> [1] 1.077117
#>
#> $c_0_param_2
#> [1] 2.181576
#>
#> $ctilde_0_param_1
#> [1] 0.1983921
#>
#> $ctilde_0_param_2
#> [1] 0.5995948
#>
#> $sd_mu_param_1
#> [1] 0.6161543
#>
#> $sd_mu_param_2
#> [1] 2.974157
#>
#> $sd_nu_param_1
#> [1] 1.884662
#>
#> $sd_nu_param_2
#> [1] 0.5886205
#>
#> $sd_c_param_1
#> [1] 0.5399232
#>
#> $sd_c_param_2
#> [1] 0.1694615
#>
#> $sd_ctilde_param_1
#> [1] 0.559106
#>
#> $sd_ctilde_param_2
#> [1] 0.8193472
#>
#> $sd_m_param_1
#> [1] 0.393344
#>
#> $sd_m_param_2
#> [1] 1.042134
#>
#> $sd_dow_epi_param_1
#> [1] 1.179664
#>
#> $sd_dow_epi_param_2
#> [1] 0.7430788
#>
#> $sd_wkend_epi_param_1
#> [1] 1.056336
#>
#> $sd_wkend_epi_param_2
#> [1] 1.198777
#>
#> $sd_dom_epi_param_1
#> [1] 0.6505336
#>
#> $sd_dom_epi_param_2
#> [1] 1.343913
#>
#> $sd_month_epi_param_1
#> [1] 1.477532
#>
#> $sd_month_epi_param_2
#> [1] 1.072026
#>
#> $sd_week_epi_param_1
#> [1] 2.126445
#>
#> $sd_week_epi_param_2
#> [1] 0.4761969
#>
#> $sd_holidays_epi_param_1
#> [1] 0.4078885
#>
#> $sd_holidays_epi_param_2
#> [1] 2.393978
#>
#> $mu_0_param_1
#> [1] 1
#>
#> $nu_0_param_2
#> [1] 0.5
#>
#> $dof
#> [1] 7
#>
#> $control_k_transform
#> [1] 2
#>
#> $control_c_transform
#> [1] 0.5
#>