R version 3.4.0 (2017-04-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 14.04.5 LTS

Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.0
LAPACK: /usr/lib/lapack/liblapack.so.3.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] methods   stats     graphics  grDevices utils     datasets  base     

other attached packages:
[1] GAS_0.2.0       devtools_1.13.2

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.11      lattice_0.20-35   zoo_1.8-0         digest_0.6.12    
 [5] withr_1.0.2       truncnorm_1.0-7   MASS_7.3-47       grid_3.4.0       
 [9] R6_2.2.1          git2r_0.18.0      httr_1.2.1        curl_2.6         
[13] xts_0.9-7         tools_3.4.0       parallel_3.4.0    numDeriv_2016.8-1
[17] compiler_3.4.0    memoise_1.1.0     Rsolnp_1.16      


SECTION 3.1
-----------


-------------------------------------------------------
-            Univariate GAS Specification             -
-------------------------------------------------------
Conditional distribution
-------------------------------------------------------
Name:	Student-t
Label:	std
Type:	univariate
Parameters:	location, scale, shape
Number of Parameters:	3
References:	
-------------------------------------------------------
GAS specification
-------------------------------------------------------
Score scaling type:  Identity
Time varying parameters:  location, scale
-------------------------------------------------------

SECTION 3.2
-----------


------------------------------------------
-          Univariate GAS Fit            -
------------------------------------------

Model Specification:	
T =  276
Conditional distribution:  std
Score scaling type:  Identity
Time varying parameters:  location, scale
------------------------------------------
Estimates:
       Estimate Std. Error t value  Pr(>|t|)
kappa1  0.03736    0.03110   1.201 1.148e-01
kappa2 -0.25993    0.14084  -1.846 3.248e-02
kappa3 -2.84547    0.79650  -3.572 1.768e-04
a1      0.07173    0.01846   3.887 5.077e-05
a2      0.45372    0.21392   2.121 1.696e-02
b1      0.94317    0.02723  34.634 0.000e+00
b2      0.85560    0.07430  11.515 0.000e+00

------------------------------------------
Unconditional Parameters:
location    scale    shape 
  0.6575   0.1653   6.5261 

------------------------------------------
Information Criteria:
   AIC    BIC     np    llk 
 370.4  395.8    7.0 -178.2 

------------------------------------------
Convergence:	0
------------------------------------------

Elapsed time: 0.01 mins

SECTION 3.3
-----------


------------------------------------------
-        Univariate GAS Forecast         -
------------------------------------------

Model Specification
Conditional distribution:  std
Score scaling type:  Identity
Horizon:  12
Rolling forecast:  FALSE
------------------------------------------
Parameters forecast:
    location  scale shape
T+1  0.10130 0.1524 6.526
T+2  0.09499 0.1737 6.526
T+3  0.09382 0.2151 6.526
T+4  0.09256 0.2577 6.526
T+5  0.08747 0.3020 6.526

....................
     location  scale shape
T+8   0.08345 0.4219 6.526
T+9   0.07792 0.4575 6.526
T+10  0.07383 0.4900 6.526
T+11  0.07558 0.5199 6.526
T+12  0.07507 0.5465 6.526


SECTION 3.4
-----------



SECTION 4
---------

    NLS uniform  center   tails  tail_r  tail_l 
 2.2163  1.3292  0.1767  0.5251  0.6522  0.6770 
