##
## GEMMA Version = 0.96
##
## Command Line Input = ../bin/gemma -g mouse100_1snp.geno.txt -c covariates -p mouse100.pheno.txt -n 1 6 -a mouse_hs1940.anno.txt -k ./output/mouse100.cXX.txt -lmm -o mouse100_CD8MCH_lmm_demo6_ 
##
## Date = Wed Dec 20 13:32:58 2017
##
## Summary Statistics:
## number of total individuals = 100
## number of analyzed individuals = 100
## number of covariates = 1
## number of phenotypes = 2
## number of total SNPs = 1
## number of analyzed SNPs = 1
## REMLE log-likelihood in the null model = -251.653
## MLE log-likelihood in the null model = -7.98156e+08
## REMLE estimate for Vg in the null model: 
2.71837	
-0.409262	0.702973	
## se(Vg): 
2.14408	
0.777278	0.534521	
## REMLE estimate for Ve in the null model: 
0.152151	
0.280641	0.517838	
## se(Ve): 
0.39676	
0.157308	0.152923	
## MLE estimate for Vg in the null model: 
2.73132	-0.394865	
-0.394865	0.737116	
## se(Vg): 
0.466147	
0.280731	0.315222	
## MLE estimate for Ve in the null model: 
0.147467	0.27209	
0.27209	0.502031	
## se(Ve): 
nan	
1.83057e-17	5.62097e-17	
## estimate for B (d by c) in the null model (columns correspond to the covariates provided in the file): 
0.466418	
0.534632	
## se(B): 
0.0390065	
0.071961	
##
## Computation Time:
## total computation time = 0.0474796 min 
## computation time break down: 
##      time on eigen-decomposition = 4.81833e-05 min 
##      time on calculating UtX = 3.93333e-06 min 
##      time on optimization = 0.014706 min 
##
