$d
[1] 1.998442

$sigmasq_delta
[1] 1.256866

$`mu[1]`
[1] 1.980236

$`mu[2]`
[1] -1.889832

$`mu[3]`
[1] 0.3581547

$`mu[4]`
[1] 0.2094898

$`mu[5]`
[1] -1.312215

$`mu[6]`
[1] -0.05479312

$`mu[7]`
[1] 1.617017

$`mu[8]`
[1] -0.1732167

$`mu[9]`
[1] -1.130446

$`mu[10]`
[1] 1.836149

$`mu[11]`
[1] -1.836984

$`mu[12]`
[1] 1.43099

$`mu[13]`
[1] 1.968143

$`mu[14]`
[1] 0.2485479

$`mu[15]`
[1] 0.3323427

$`mu[16]`
[1] 0.5936037

$`mu[17]`
[1] -0.8224703

$`mu[18]`
[1] -0.04250235

$`mu[19]`
[1] -0.9865647

$`mu[20]`
[1] -1.682098

$`mu[21]`
[1] -0.3401594

$`mu[22]`
[1] 1.034296

$`delta[1]`
[1] 0.6374334

$`delta[2]`
[1] 1.406834

$`delta[3]`
[1] 0.76579

$`delta[4]`
[1] 1.985189

$`delta[5]`
[1] -0.9136834

$`delta[6]`
[1] 0.3605182

$`delta[7]`
[1] 0.7806194

$`delta[8]`
[1] 0.5563321

$`delta[9]`
[1] 0.9335059

$`delta[10]`
[1] -0.4469425

$`delta[11]`
[1] -0.05296021

$`delta[12]`
[1] 1.773968

$`delta[13]`
[1] -1.918329

$`delta[14]`
[1] -0.2678257

$`delta[15]`
[1] 1.40551

$`delta[16]`
[1] 0.4074753

$`delta[17]`
[1] -0.4215242

$`delta[18]`
[1] 0.5260904

$`delta[19]`
[1] -1.59404

$`delta[20]`
[1] -1.363845

$`delta[21]`
[1] -0.2470658

$`delta[22]`
[1] -1.615809

$delta_new
[1] -0.1168062

$sigma_delta
[1] 1.1211

$lp__
[1] -22998.1

attr(,"test_grad")
[1] FALSE
attr(,"args")
attr(,"args")$append_samples
[1] FALSE

attr(,"args")$chain_id
[1] 1

attr(,"args")$control
attr(,"args")$control$adapt_delta
[1] 0.8

attr(,"args")$control$adapt_engaged
[1] TRUE

attr(,"args")$control$adapt_gamma
[1] 0.05

attr(,"args")$control$adapt_init_buffer
[1] 75

attr(,"args")$control$adapt_kappa
[1] 0.75

attr(,"args")$control$adapt_t0
[1] 10

attr(,"args")$control$adapt_term_buffer
[1] 50

attr(,"args")$control$adapt_window
[1] 25

attr(,"args")$control$max_treedepth
[1] 10

attr(,"args")$control$metric
[1] "diag_e"

attr(,"args")$control$stepsize
[1] 1

attr(,"args")$control$stepsize_jitter
[1] 0


attr(,"args")$init
[1] "random"

attr(,"args")$init_list
NULL

attr(,"args")$init_radius
[1] 2

attr(,"args")$iter
[1] 1

attr(,"args")$method
[1] "sampling"

attr(,"args")$random_seed
[1] "1234"

attr(,"args")$refresh
[1] 1

attr(,"args")$sampler_t
[1] "NUTS(diag_e)"

attr(,"args")$test_grad
[1] FALSE

attr(,"args")$thin
[1] 1

attr(,"args")$warmup
[1] 0

attr(,"inits")
 [1]  1.99844161  1.25686559  1.98023596 -1.88983224  0.35815467  0.20948985
 [7] -1.31221456 -0.05479312  1.61701713 -0.17321668 -1.13044593  1.83614949
[13] -1.83698387  1.43098962  1.96814275  0.24854793  0.33234265  0.59360366
[19] -0.82247026 -0.04250235 -0.98656468 -1.68209812 -0.34015936  1.03429591
[25]  0.63743338  1.40683404  0.76578999  1.98518879 -0.91368343  0.36051820
[31]  0.78061938  0.55633211  0.93350588 -0.44694254 -0.05296021  1.77396816
[37] -1.91832936 -0.26782574  1.40550963  0.40747527 -0.42152424  0.52609036
[43] -1.59404022 -1.36384460 -0.24706582 -1.61580866 -0.11680619  1.12110017
attr(,"mean_pars")
 [1]  1.99844161  1.25686559  1.98023596 -1.88983224  0.35815467  0.20948985
 [7] -1.31221456 -0.05479312  1.61701713 -0.17321668 -1.13044593  1.83614949
[13] -1.83698387  1.43098962  1.96814275  0.24854793  0.33234265  0.59360366
[19] -0.82247026 -0.04250235 -0.98656468 -1.68209812 -0.34015936  1.03429591
[25]  0.63743338  1.40683404  0.76578999  1.98518879 -0.91368343  0.36051820
[31]  0.78061938  0.55633211  0.93350588 -0.44694254 -0.05296021  1.77396816
[37] -1.91832936 -0.26782574  1.40550963  0.40747527 -0.42152424  0.52609036
[43] -1.59404022 -1.36384460 -0.24706582 -1.61580866 -0.11680619  1.12110017
attr(,"mean_lp__")
[1] -22998.1
attr(,"adaptation_info")
[1] "# Adaptation terminated\n# Step size = 1\n# Diagonal elements of inverse mass matrix:\n# 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1\n"
attr(,"sampler_params")
attr(,"sampler_params")$accept_stat__
[1] 0

attr(,"sampler_params")$stepsize__
[1] 1

attr(,"sampler_params")$treedepth__
[1] 1

attr(,"sampler_params")$n_leapfrog__
[1] 1

attr(,"sampler_params")$divergent__
[1] 1
