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gerard22.stan
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gerard22.stan
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#./gerard15 sample num_warmup=5000 num_samples=5000 data file=data.R init=init15.R output file=output15.csv refresh=1000
data {
int D; // Number of supernovae
int N_mags;
int N_EWs;
vector[N_mags] mag_obs[D];
vector[N_EWs] EW_obs[D];
matrix[N_mags, N_mags] mag_cov[D];
matrix[N_EWs, N_EWs] EW_cov[D];
vector[D] sivel_obs;
vector[D] sivel_err;
vector[D] x1_obs;
vector[D] x1_err;
}
transformed data {
unit_vector[5] e1;
unit_vector[5] e3;
unit_vector[5] e5;
for (d in 1:5){
e1[d]=0;
e3[d]=0;
e5[d]=0;
}
e1[1]=1;
e3[3]=1;
e5[5]=1;
}
parameters {
vector[5] c_raw;
vector[5] alpha_raw;
vector[5] beta_raw;
vector<lower=0.0>[N_mags] L_sigma_raw;
vector[5] eta_raw;
vector[5] zeta;
real<lower=0> gamma01;
real gamma02;
real gamma03;
real gamma04;
real gamma05;
real<upper=0> gamma11;
real gamma12;
real gamma13;
real gamma14;
real gamma15;
real rho11;
real rho12;
real rho13;
# real rho14;
# real rho15;
real <lower=0> Delta_scale;
cholesky_factor_corr[N_mags] L_Omega;
vector[2] EW[D];
vector[D] sivel;
vector[D] x1;
vector[N_mags] mag_int_raw[D];
simplex[D] Delta_unit;
simplex[D] k_unit;
simplex[D] k1_unit;
simplex[D] R_unit;
}
transformed parameters {
vector[5] c;
vector[5] alpha;
vector[5] beta;
vector[5] eta;
vector[N_mags] L_sigma;
vector[D] Delta;
vector[D] k;
vector[D] k1;
vector[D] R;
vector[5] gamma;
vector[5] gamma1;
vector[5] rho1;
vector[N_mags] mag_int[D];
c = c_raw/1e2;
alpha = alpha_raw/5e2;
beta = beta_raw/2e2;
eta = eta_raw/6e2;
L_sigma = L_sigma_raw/100.;
Delta = 4.*Delta_scale*(Delta_unit-1./D);
k=(k_unit-1./D);
k1=(k1_unit-1./D);
R=(R_unit-1./D);
gamma[1] = gamma01;
gamma[2] = gamma02;
gamma[3] = gamma03;
gamma[4] = gamma04;
gamma[5] = gamma05;
gamma = gamma*5;
gamma1[1] = gamma11;
gamma1[2] = gamma12;
gamma1[3] = gamma13;
gamma1[4] = gamma14;
gamma1[5] = gamma15;
gamma1 = gamma1*5;
{
matrix[5,5] Q;
matrix[5,2] A;
matrix[5,3] A2;
matrix[5,4] A3;
vector[5] ev1;
vector[5] ev2;
vector[5] ev3;
real dp;
for (d in 1:5){
A[d,1] = gamma[d];
A[d,2] = gamma1[d];
}
Q=qr_Q(A);
Q=Q';
ev3 = e5;
for (d in 1:2){
dp = dot_product(Q[d],e5);
for(d2 in 1:5){
ev3[d2] = ev3[d2] - dp *Q[d,d2];
}
}
ev3 = ev3/sqrt(sum(ev3 .* ev3));
for (d in 1:5){
A2[d,1] = gamma[d];
A2[d,2] = gamma1[d];
A2[d,3] = ev3[d];
}
Q=qr_Q(A2);
Q=Q';
ev1=e1;
for (d in 1:3){
dp = dot_product(Q[d],e1);
for(d2 in 1:5){
ev1[d2] = ev1[d2] - dp *Q[d,d2];
}
}
ev1 = ev1/sqrt(sum(ev1 .* ev1));
for (d in 1:5){
A3[d,1] = gamma[d];
A3[d,2] = gamma1[d];
A3[d,3] = ev3[d];
A3[d,4] = ev1[d];
}
Q=qr_Q(A3);
Q=Q';
for(d2 in 1:5){
ev2[d2] = Q[5,d2];
}
dp = dot_product(ev2, e3);
ev2 = dp/fabs(dp) * ev2;
# print(dot_product(gamma,ev1)," ",dot_product(gamma1,ev1));
# print(dot_product(gamma,ev2)," ",dot_product(gamma1,ev2));
# print(dot_product(gamma,ev3)," ",dot_product(gamma1,ev3));
# print(dot_product(ev1,ev2)," ",dot_product(ev1,ev3)," ",dot_product(ev2,ev3));
rho1 = rho11*ev1 + rho12*ev2 + rho13*ev3;
}
rho1 = rho1*5;
# non-centered parameterization
{
matrix[5,5] L_Sigma;
L_Sigma = diag_pre_multiply(L_sigma, L_Omega);
for (d in 1:D) {
mag_int[d] = Delta[d] + c+ alpha*EW[d,1] + beta*EW[d,2] +zeta*x1[d] + rho1*R[d] + eta*sivel[d] + L_Sigma * mag_int_raw[d];
}
}
}
model {
target += cauchy_lpdf(L_sigma | 0.1,0.1);
target += lkj_corr_cholesky_lpdf(L_Omega | 4.);
for (d in 1:D) {
target += normal_lpdf(mag_int_raw[d]| 0, 1);
target += multi_normal_lpdf(mag_obs[d] | mag_int[d]+gamma*k[d]+gamma1*k1[d], mag_cov[d]);
target += multi_normal_lpdf(EW_obs[d] | EW[d], EW_cov[d]);
}
target += (normal_lpdf(sivel_obs | sivel,sivel_err));
target += uniform_lpdf(rho1[5] | 0, 100);
target += (normal_lpdf(x1_obs | x1,x1_err));
}