Commit 8959aa7c authored by matbuoro's avatar matbuoro
Browse files

bugs folder cleaned

parent 15d4583d
list(Y=2.30000E+01, eff_R=c(4.00000E+00, 1.40000E+01, 8.00000E+00, 6.00000E+00, 1.00000E+01, 1.20000E+01, 6.00000E+00, 1.30000E+01, 1.20000E+01, 1.20000E+01, 1.30000E+01, 1.10000E+01, 1.70000E+01, 1.10000E+01, 1.10000E+01, 7.00000E+00, 1.00000E+01, 1.00000E+01, 8.00000E+00, 9.00000E+00, 1.30000E+01, 1.20000E+01, 8.00000E+00), Cm_R= structure(.Data= c(4.00000E+00, 0.00000E+00, 3.10000E+01, 1.00000E+00, 4.50000E+01, 3.00000E+00, 1.90000E+01, 0.00000E+00, 5.60000E+01, 1.00000E+00, 1.60000E+01, 5.00000E+00, 5.00000E+00, 0.00000E+00, 3.30000E+01, 0.00000E+00, 3.00000E+01, 1.00000E+00, 2.80000E+01, 5.00000E+00, 1.33000E+02, 5.00000E+00, 6.70000E+01, 8.00000E+00, 6.20000E+01, 6.00000E+00, 3.50000E+01, 4.00000E+00, 2.20000E+01, 5.00000E+00, 1.30000E+01, 5.00000E+00, 8.20000E+01, 4.00000E+00, 2.80000E+01, 1.30000E+01, 1.40000E+01, 4.00000E+00, 5.20000E+01, 6.00000E+00, 4.70000E+01, 1.40000E+01, 5.00000E+01, 7.00000E+00, 5.50000E+01, 6.00000E+00), .Dim=c(23, 2)), Cum_R= structure(.Data= c(1.40000E+01, 1.00000E+00, 2.80000E+01, 8.00000E+00, 1.40000E+01, 6.00000E+00, 9.00000E+00, 2.00000E+00, 1.30000E+01, 2.00000E+00, 1.10000E+01, 6.00000E+00, 9.00000E+00, 0.00000E+00, 1.10000E+01, 1.00000E+00, 1.20000E+01, 4.00000E+00, 2.40000E+01, 4.00000E+00, 6.50000E+01, 2.00000E+00, 2.00000E+01, 7.00000E+00, 2.00000E+01, 4.00000E+00, 1.60000E+01, 5.00000E+00, 1.20000E+01, 9.00000E+00, 7.00000E+00, 8.00000E+00, 3.10000E+01, 3.00000E+00, 4.00000E+00, 7.00000E+00, 9.00000E+00, 6.00000E+00, 2.60000E+01, 9.00000E+00, 3.30000E+01, 7.00000E+00, 2.20000E+01, 1.30000E+01, 3.30000E+01, 6.00000E+00), .Dim=c(23, 2)), Q= structure(.Data= c(2.44194E+00, 7.82823E+00, 1.21284E+00, 4.12274E+00, 1.22348E+00, 3.92435E+00, 1.18398E+00, 3.23790E+00, 2.01719E+00, 6.63452E+00, 1.95419E+00, 8.14371E+00, 2.53710E+00, 7.47919E+00, 1.83855E+00, 8.89161E+00, 1.90081E+00, 3.72242E+00, 8.48097E-01, 2.45258E+00, 1.51176E+00, 3.76855E+00, 9.04774E-01, 2.89468E+00, 9.76258E-01, 6.48226E+00, 4.07758E+00, 4.08694E+00, 2.14677E+00, 4.82774E+00, 1.46758E+00, 3.80710E+00, 9.46452E-01, 5.22887E+00, 8.54177E-01, 2.32661E+00, 3.44016E+00, 7.19710E+00, 1.66977E+00, 6.92855E+00, 1.69889E+00, 4.91790E+00, 1.34410E+00, 4.39033E+00, 1.41926E+00, 5.00887E+00), .Dim=c(23, 2)), Q_dec=c(6.84667E+00, 4.88567E+00, 3.77267E+00, 6.22967E+00, 4.98133E+00, 6.65867E+00, 3.08900E+01, 2.34100E+00, 9.71167E+00, 2.56800E+00, 3.50900E+00, 5.68333E+00, 1.42613E+01, 3.88000E+00, 4.77333E+00, 1.18903E+01, 6.35300E+00, 8.33727E+00, 1.41787E+01, 6.44333E+00, 6.45667E+00, 4.00000E+00, 9.90968E+08, 1.00000E+00, 4.53613E+05), Cm_D= structure(.Data= c(0.00000E+00, 0.00000E+00, 7.00000E+00, 1.10000E+01, 2.00000E+00, 1.00000E+00, 2.00000E+00, 6.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 4.00000E+00, 0.00000E+00, 2.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 0.00000E+00, 2.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 4.00000E+00, 0.00000E+00, 1.40000E+01, 2.00000E+00), .Dim=c(23, 2)), Cum_D= structure(.Data= c(0.00000E+00, 1.00000E+00, 0.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 2.00000E+00, 0.00000E+00, 6.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 2.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 6.00000E+00, 0.00000E+00), .Dim=c(23, 2)), C_MP= structure(.Data= c(1.57000E+02, 7.00000E+00, 5.08000E+02, 4.30000E+01, 5.07000E+02, 3.10000E+01, 3.22000E+02, 3.80000E+01, 4.42000E+02, 9.00000E+00, 1.67000E+02, 4.10000E+01, 1.51000E+02, 1.10000E+01, 2.28000E+02, 1.70000E+01, 4.20000E+02, 7.00000E+00, 1.30000E+02, 2.60000E+01, 7.61000E+02, 3.30000E+01, 3.35000E+02, 7.30000E+01, 6.62000E+02, 3.90000E+01, 3.18000E+02, 4.70000E+01, 1.90000E+02, 2.90000E+01, 1.87000E+02, 5.40000E+01, 5.33000E+02, 3.40000E+01, 3.07000E+02, 1.40000E+02, 2.27000E+02, 5.60000E+01, 3.94000E+02, 4.30000E+01, 4.33000E+02, 7.60000E+01, 3.91000E+02, 7.20000E+01, 3.86000E+02, 3.90000E+01), .Dim=c(23, 2)), Cm_MP= structure(.Data= c(1.56000E+02, 7.00000E+00, 5.00000E+02, 4.20000E+01, 5.02000E+02, 3.00000E+01, 3.20000E+02, 3.80000E+01, 4.42000E+02, 9.00000E+00, 1.66000E+02, 4.10000E+01, 1.51000E+02, 1.10000E+01, 2.26000E+02, 1.70000E+01, 4.20000E+02, 7.00000E+00, 1.30000E+02, 2.50000E+01, 7.61000E+02, 3.30000E+01, 3.35000E+02, 7.30000E+01, 6.61000E+02, 3.90000E+01, 3.18000E+02, 4.70000E+01, 1.90000E+02, 2.90000E+01, 1.87000E+02, 5.40000E+01, 5.33000E+02, 3.40000E+01, 3.07000E+02, 1.40000E+02, 2.27000E+02, 5.60000E+01, 3.93000E+02, 4.30000E+01, 4.33000E+02, 7.60000E+01, 3.91000E+02, 7.20000E+01, 3.85000E+02, 3.90000E+01), .Dim=c(23, 2)), Cum_MP= structure(.Data= c(0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00), .Dim=c(23, 2)), C_F= structure(.Data= c(4.10000E+01, 2.00000E+01, 7.50000E+01, 1.10000E+01, 9.20000E+01, 1.10000E+01, 3.50000E+01, 8.00000E+00, 7.00000E+01, 5.00000E+00, 2.50000E+01, 7.00000E+00, 4.10000E+01, 1.00000E+01, 3.10000E+01, 6.00000E+00, 2.40000E+01, 1.00000E+00), .Dim=c(9, 2)), Cm_F= structure(.Data= c(3.00000E+00, 0.00000E+00, 3.90000E+01, 3.00000E+00, 2.50000E+01, 0.00000E+00, 1.70000E+01, 2.00000E+00, 5.00000E+01, 2.00000E+00, 1.60000E+01, 0.00000E+00, 1.80000E+01, 1.00000E+00, 1.40000E+01, 1.00000E+00, 7.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 6.00000E+01, 1.00000E+00, 1.70000E+01, 1.60000E+01, 4.50000E+01, 5.00000E+00, 3.00000E+01, 5.00000E+00, 8.00000E+00, 2.00000E+00, 5.00000E+00, 5.00000E+00, 3.20000E+01, 0.00000E+00, 2.10000E+01, 5.00000E+00, 1.80000E+01, 5.00000E+00, 1.30000E+01, 2.00000E+00, 3.80000E+01, 4.00000E+00, 1.80000E+01, 1.00000E+01, 9.00000E+00, 2.00000E+00), .Dim=c(23, 2)), Cum_F= structure(.Data= c(1.40000E+01, 2.00000E+01, 1.00000E+01, 2.00000E+00, 8.00000E+00, 6.00000E+00, 7.00000E+00, 4.00000E+00, 5.00000E+00, 3.00000E+00, 4.00000E+00, 3.00000E+00, 1.90000E+01, 4.00000E+00, 4.00000E+00, 3.00000E+00, 5.00000E+00, 1.00000E+00, 0.00000E+00, 6.00000E+00, 2.60000E+01, 9.00000E+00, 1.00000E+01, 1.00000E+01, 2.50000E+01, 2.50000E+01, 2.00000E+01, 7.00000E+00, 4.00000E+00, 1.20000E+01, 0.00000E+00, 8.00000E+00, 2.60000E+01, 3.00000E+00, 7.00000E+00, 7.00000E+00, 1.60000E+01, 2.10000E+01, 1.60000E+01, 5.00000E+00, 1.80000E+01, 8.00000E+00, 3.40000E+01, 2.00000E+01, 2.40000E+01, 8.00000E+00), .Dim=c(23, 2)))
list(lambda_tot0=4.15700E+02, logit_effort_R=c(1.89700E-01, 1.62100E-01), logit_flow_MP=c(-6.31200E-02, -3.23200E-01), logit_flow_R=c(-3.84400E-01, -1.42000E-01), logit_int_MP=c(7.41500E-01, -4.10300E-01), logit_int_R=c(-2.18400E+00, -2.03600E+00), logit_pi_oF=c(2.22700E-01, 7.49300E-01, -4.88300E-01, 9.54100E-01, 1.07400E+00, 7.17700E-01, 1.44500E+00, 4.20900E-01, 7.48700E-01), mupi_oF=5.93300E-01, pi_MP94=c(4.43200E-01, 3.22000E-01), pi_oD=1.51100E-01, rate_lambda=1.21700E-02, rho_D=c(-5.85500E-01, 9.67400E-01), rho_F=c(-7.12300E-01, -1.43000E-02), s=c(2.22300E+01, 5.28300E+00), shape_lambda=7.15900E+00, sigmapi_D=c(1.65100E+00, 2.42800E-01), sigmapi_F=c(7.19000E-01, 1.11800E+00), sigmapi_MP=2.78000E-01, sigmapi_R=1.69300E-01, sigmapi_oF=5.86500E-01, m_F= structure(.Data= c(5.00000E+00, 2.00000E+00, 0.00000E+00, 2.10000E+01, 5.30000E+01, 2.00000E+00, 4.00000E+00, 2.20000E+01, 6.80000E+01, 2.00000E+00, 3.00000E+00, 2.40000E+01, 1.90000E+01, 1.00000E+00, 4.00000E+00, 1.30000E+01, 6.40000E+01, 0.00000E+00), .Dim=c(9, 2)), um_F= structure(.Data= c(3.60000E+01, 3.00000E+00, 2.00000E+01, 4.00000E+00, 2.20000E+01, 5.00000E+00, 7.00000E+00, 1.90000E+01, 2.40000E+01, 8.00000E+00, 8.00000E+00, 7.00000E+00, 1.60000E+01, 5.00000E+00, 4.00000E+00, 1.10000E+01, 6.00000E+00, 1.00000E+00), .Dim=c(9, 2)), mupi_D= structure(.Data= c(7.18500E-03, 3.95300E-01, 9.91700E-03, 1.23100E-01), .Dim=c(2, 2)), mupi_F= structure(.Data= c(6.53800E-02, 1.09600E-01, 1.01200E-01, 1.17900E-01), .Dim=c(2, 2)), lambda_tot=c(6.72000E+02, 1.22900E+03, 8.19000E+02, 6.26000E+02, 6.48000E+02, 4.40000E+02, 4.52000E+02, 4.12000E+02, 6.86000E+02, 3.72000E+02, 1.26200E+03, 6.49000E+02, 1.01600E+03, 6.34000E+02, 4.47000E+02, 4.84000E+02, 8.72000E+02, 6.38000E+02, 5.60000E+02, 7.71000E+02, 9.27000E+02, 8.32000E+02, 7.72000E+02), logit_piD_1SW= structure(.Data= c(-6.42000E+00, -6.42000E+00, -4.80600E+00, -6.89300E+00, -5.44800E+00, -5.44800E+00, -5.11000E+00, -6.21300E+00, -6.37000E+00, -6.37000E+00, -5.74900E+00, -5.74900E+00, -5.99400E+00, -5.99400E+00, -5.84100E+00, -5.84100E+00, -6.42600E+00, -6.42600E+00, -5.64200E+00, -5.64200E+00, -6.37300E+00, -6.37300E+00, -5.06500E+00, -6.16800E+00, -6.81300E+00, -6.81300E+00, -6.21300E+00, -6.21300E+00, -5.79600E+00, -5.79600E+00, -5.75600E+00, -5.75600E+00, -5.95700E+00, -5.95700E+00, -5.26300E+00, -5.95800E+00, -5.98400E+00, -5.98400E+00, -6.44300E+00, -6.44300E+00, -6.64600E+00, -6.64600E+00, -4.78200E+00, -5.70400E+00, -3.75500E+00, -4.53000E+00), .Dim=c(23, 2)), logit_piD_MSW= structure(.Data= c(-4.02500E+00, -3.31400E+00, -2.95800E+00, -4.38200E+00, -4.06900E+00, -3.65500E+00, -2.83300E+00, -4.12700E+00, -4.12700E+00, -4.12700E+00, -3.17800E+00, -3.70500E+00, -2.75200E+00, -1.81500E+00, -4.19000E+00, -4.19000E+00, -4.19000E+00, -4.19000E+00, -3.77300E+00, -3.35600E+00, -4.46600E+00, -4.46600E+00, -4.43700E+00, -5.13600E+00, -4.64400E+00, -4.64400E+00, -4.89000E+00, -4.89000E+00, -4.75400E+00, -4.75400E+00, -5.11200E+00, -5.11200E+00, -4.56400E+00, -4.56400E+00, -4.82000E+00, -4.82000E+00, -4.38200E+00, -5.08100E+00, -4.94900E+00, -4.94900E+00, -5.04300E+00, -5.04300E+00, -5.43400E+00, -4.73600E+00, -3.62900E+00, -4.74500E+00), .Dim=c(23, 2)), logit_piF_1SW= structure(.Data= c(-4.62000E+00, -2.74900E+00, -6.89300E+00, -3.82800E+00, -2.48200E+00, -3.38200E+00, -4.59500E+00, -4.11900E+00, -2.01200E+00, -3.10900E+00, -4.35300E+00, -3.52600E+00, -2.95000E+00, -3.12000E+00, -4.22000E+00, -4.22000E+00, -2.14300E+00, -4.47100E+00, NA, NA, -2.90400E+00, -3.74900E+00, -3.24100E+00, -3.74800E+00, -2.93400E+00, -3.52700E+00, -2.71700E+00, -3.12700E+00, -3.57400E+00, -4.17400E+00, -3.94800E+00, -5.75600E+00, -3.11300E+00, -3.32200E+00, -2.81200E+00, -3.86100E+00, -2.99300E+00, -3.11000E+00, -3.78300E+00, -3.58400E+00, -2.93200E+00, -3.67800E+00, -3.42400E+00, -2.78500E+00, -4.16800E+00, -3.22800E+00), .Dim=c(23, 2)), logit_piF_MSW= structure(.Data= c(-2.89000E+00, -2.58400E+00, -2.30700E+00, -3.86300E+00, -3.65500E+00, -2.93600E+00, -1.49900E+00, -1.66800E+00, -2.99600E+00, -1.79200E+00, -1.38600E+00, -2.68300E+00, -3.17800E+00, -1.99200E+00, -1.33100E+00, -1.52200E+00, -4.19000E+00, -3.48100E+00, -3.77300E+00, -2.46100E+00, -3.76100E+00, -2.05400E+00, -2.20400E+00, -2.67700E+00, -2.80300E+00, -1.11100E+00, -3.06000E+00, -2.75700E+00, -3.63800E+00, -2.07900E+00, -3.29000E+00, -2.86500E+00, -4.56400E+00, -3.14600E+00, -3.70500E+00, -3.40900E+00, -3.25800E+00, -1.85100E+00, -3.83600E+00, -3.12100E+00, -3.40800E+00, -2.79300E+00, -2.99100E+00, -2.29800E+00, -3.62900E+00, -2.47600E+00), .Dim=c(23, 2)), logit_pi_MP= structure(.Data= c(-1.07900E+00, -1.96600E+00, 2.84000E-02, -1.56600E+00, 9.30300E-01, -1.08700E+00, 5.75400E-01, -8.39800E-01, 1.12800E+00, -1.79200E+00, 1.08000E-01, -7.17200E-01, -5.08200E-01, -1.26600E+00, 6.41400E-01, -1.07900E+00, 7.46900E-01, -2.14800E+00, -1.62900E-01, -9.40000E-01, 6.11200E-01, -5.10800E-01, 8.51300E-01, -2.94500E-01, 9.72300E-01, -5.26100E-01, 5.58000E-01, -6.15800E-01, 3.05400E-01, -1.11000E+00, 3.63600E-01, -7.38400E-01, 7.89600E-01, -6.16800E-01, 1.33200E+00, 2.41200E-01, 2.83300E-01, -6.38100E-01, 5.10000E-01, -8.33900E-01, 2.47700E-01, -5.12900E-02, 6.16800E-01, -7.85900E-01, 3.51100E-01, -6.80200E-01), .Dim=c(23, 2)), logit_pi_R= structure(.Data= c(-3.61800E+00, -1.50000E+00, -2.61300E+00, -3.29600E+00, -2.25700E+00, -2.15900E+00, -2.69700E+00, -1.50000E+00, -1.79200E+00, -1.79200E+00, -2.12500E+00, -1.85600E+00, -3.24300E+00, -1.50000E+00, -1.69100E+00, -1.50000E+00, -2.54700E+00, -1.79200E+00, -1.29300E+00, -1.28100E+00, -1.45000E+00, -1.68600E+00, -1.31300E+00, -1.79200E+00, -2.19000E+00, -1.54000E+00, -1.97800E+00, -2.25100E+00, -1.98400E+00, -1.48200E+00, -2.56500E+00, -2.17500E+00, -1.62900E+00, -2.01500E+00, -2.21700E+00, -2.23100E+00, -2.63400E+00, -2.44200E+00, -1.84200E+00, -1.76400E+00, -2.00200E+00, -1.42100E+00, -1.85300E+00, -2.06100E+00, -1.72000E+00, -1.57600E+00), .Dim=c(23, 2)), m_D= structure(.Data= c(0.00000E+00, 0.00000E+00, 7.00000E+00, 1.10000E+01, 2.00000E+00, 1.00000E+00, 2.00000E+00, 6.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 4.00000E+00, 0.00000E+00, 2.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 0.00000E+00, 2.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 4.00000E+00, 0.00000E+00, 1.40000E+01, 2.00000E+00), .Dim=c(23, 2)), n= structure(.Data= c(6.15000E+02, 5.70000E+01, 9.86000E+02, 2.43000E+02, 7.00000E+02, 1.19000E+02, 5.00000E+02, 1.26000E+02, 5.85000E+02, 6.30000E+01, 3.15000E+02, 1.25000E+02, 4.02000E+02, 5.00000E+01, 3.45000E+02, 6.70000E+01, 6.19000E+02, 6.70000E+01, 2.83000E+02, 8.90000E+01, 1.17400E+03, 8.80000E+01, 4.78000E+02, 1.71000E+02, 9.11000E+02, 1.05000E+02, 5.00000E+02, 1.34000E+02, 3.30000E+02, 1.17000E+02, 3.17000E+02, 1.67000E+02, 7.75000E+02, 9.70000E+01, 3.88000E+02, 2.50000E+02, 3.98000E+02, 1.62000E+02, 6.29000E+02, 1.42000E+02, 7.71000E+02, 1.56000E+02, 6.02000E+02, 2.30000E+02, 6.56000E+02, 1.16000E+02), .Dim=c(23, 2)), um_D= structure(.Data= c(0.00000E+00, 1.00000E+00, 0.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 2.00000E+00, 0.00000E+00, 6.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 2.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 6.00000E+00, 0.00000E+00), .Dim=c(23, 2)))
OpenBUGS version 3.2.3 rev 1012
model is syntactically correct
data loaded
model compiled
initial values loaded but chain contain uninitialized variables
initial values generated, model initialized
500 updates took 2 s
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inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
inference can not be made when sampler is in adaptive phase
1000 updates took 4 s
CODA files written
no monitors set
modelCheck('/home/basp-meco88/Documents/RESEARCH/PROJECTS/ORE/Abundance/Scorff/adult/bugs/model_adult-Scorff.R.txt')
modelData('/home/basp-meco88/Documents/RESEARCH/PROJECTS/ORE/Abundance/Scorff/adult/bugs/data.txt')
modelCompile(1)
modelSetRN(1)
modelInits('/home/basp-meco88/Documents/RESEARCH/PROJECTS/ORE/Abundance/Scorff/adult/bugs/inits1.txt',1)
modelGenInits()
modelUpdate(500,1,500)
samplesSet(logit_int_MP)
samplesSet(logit_flow_MP)
samplesSet(sigmapi_MP)
samplesSet(mupi_F)
samplesSet(sigmapi_F)
samplesSet(rho_F)
samplesSet(logit_int_R)
samplesSet(logit_effort_R)
samplesSet(logit_flow_R)
samplesSet(sigmapi_R)
samplesSet(mupi_D)
samplesSet(sigmapi_D)
samplesSet(rho_D)
samplesSet(mupi_oF)
samplesSet(sigmapi_oF)
samplesSet(test)
samplesSet(diffF_1SW)
samplesSet(diffF_MSW)
samplesSet(diff1SW)
samplesSet(diffMSW)
samplesSet(pi_MP)
samplesSet(pi_MP94)
samplesSet(p_MP94_tot)
samplesSet(epsilon_MP)
samplesSet(pi_oF)
samplesSet(piF_1SW)
samplesSet(piF_MSW)
samplesSet(pi_oD)
samplesSet(piD_1SW)
samplesSet(piD_MSW)
samplesSet(pi_R)
samplesSet(epsilon_R)
samplesSet(n_tot)
samplesSet(n_1SW)
samplesSet(n_MSW)
samplesSet(shape_lambda)
samplesSet(rate_lambda)
samplesSet(lambda_tot0)
samplesSet(Plambda0)
samplesSet(lambda_tot)
samplesSet(Plambda)
samplesSet(s)
samplesSet(e_tot)
samplesSet(e_1SW)
samplesSet(e_MSW)
summarySet(logit_int_MP)
summarySet(logit_flow_MP)
summarySet(sigmapi_MP)
summarySet(mupi_F)
summarySet(sigmapi_F)
summarySet(rho_F)
summarySet(logit_int_R)
summarySet(logit_effort_R)
summarySet(logit_flow_R)
summarySet(sigmapi_R)
summarySet(mupi_D)
summarySet(sigmapi_D)
summarySet(rho_D)
summarySet(mupi_oF)
summarySet(sigmapi_oF)
summarySet(test)
summarySet(diffF_1SW)
summarySet(diffF_MSW)
summarySet(diff1SW)
summarySet(diffMSW)
summarySet(pi_MP)
summarySet(pi_MP94)
summarySet(p_MP94_tot)
summarySet(epsilon_MP)
summarySet(pi_oF)
summarySet(piF_1SW)
summarySet(piF_MSW)
summarySet(pi_oD)
summarySet(piD_1SW)
summarySet(piD_MSW)
summarySet(pi_R)
summarySet(epsilon_R)
summarySet(n_tot)
summarySet(n_1SW)
summarySet(n_MSW)
summarySet(shape_lambda)
summarySet(rate_lambda)
summarySet(lambda_tot0)
summarySet(Plambda0)
summarySet(lambda_tot)
summarySet(Plambda)
summarySet(s)
summarySet(e_tot)
summarySet(e_1SW)
summarySet(e_MSW)
modelUpdate(1000,1,1000)
samplesCoda('*', '/home/basp-meco88/Documents/RESEARCH/PROJECTS/ORE/Abundance/Scorff/adult/bugs//')
summaryStats('*')
modelQuit('y')
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