
Output from mraic.pl version 1.4.4 by Johan Nylander
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11:13 08/01/2011

Input data from file "261-aggressive-phylip/10999_hg18.phylip" (29 taxa, 850 characters)

Minimum AIC  model: GTRIG
Minimum AICc model: GTRIG
Minimum BIC  model: GTRIG


Note: number of parameters compared to sample size
is low (Nchar/Nparams < 40). Consider the use of AICc.


(Output sorted by AICc. w: Akaike weight, cw: cumulative w.)

Model	df	lnL		AICc		wAICc	cwAICc
GTRIG	65	-3044.3449	6229.6338	0.9573	0.9573
GTRG	64	-3048.6276	6235.8540	0.0427	1.0000
GTRI	64	-3056.1845	6250.9678	0.0000	1.0000
HKYIG	61	-3069.6056	6270.8101	0.0000	1.0000
HKYG	60	-3071.4928	6272.2632	0.0000	1.0000
HKYI	60	-3083.4408	6296.1592	0.0000	1.0000
F81G	59	-3110.5580	6348.0781	0.0000	1.0000
SYMIG	62	-3108.0052	6349.9367	0.0000	1.0000
SYMG	61	-3110.2013	6352.0017	0.0000	1.0000
F81IG	60	-3112.3306	6353.9388	0.0000	1.0000
GTR	63	-3114.0133	6364.2861	0.0000	1.0000
K2PIG	58	-3120.1887	6365.0296	0.0000	1.0000
K2PG	57	-3122.4172	6367.1829	0.0000	1.0000
SYMI	61	-3118.1663	6367.9315	0.0000	1.0000
F81I	59	-3122.7494	6372.4609	0.0000	1.0000
K2PI	57	-3130.6046	6383.5577	0.0000	1.0000
HKY	59	-3138.9453	6404.8526	0.0000	1.0000
JC69IG	57	-3153.4217	6429.1919	0.0000	1.0000
JC69G	56	-3157.5271	6435.1046	0.0000	1.0000
JC69I	56	-3163.6924	6447.4352	0.0000	1.0000
F81	58	-3177.8220	6480.2963	0.0000	1.0000
SYM	60	-3177.2498	6483.7772	0.0000	1.0000
K2P	56	-3188.6305	6497.3115	0.0000	1.0000
JC69	55	-3220.5773	6558.9128	0.0000	1.0000



(Output sorted by AIC. w: Akaike weight, cw: cumulative w.)

Model	df	lnL		AIC		wAIC	cwAIC
GTRIG	65	-3044.3449	6218.6899	0.9638	0.9638
GTRG	64	-3048.6276	6225.2552	0.0362	1.0000
GTRI	64	-3056.1845	6240.3691	0.0000	1.0000
HKYIG	61	-3069.6056	6261.2111	0.0000	1.0000
HKYG	60	-3071.4928	6262.9857	0.0000	1.0000
HKYI	60	-3083.4408	6286.8816	0.0000	1.0000
F81G	59	-3110.5580	6339.1161	0.0000	1.0000
SYMIG	62	-3108.0052	6340.0104	0.0000	1.0000
SYMG	61	-3110.2013	6342.4027	0.0000	1.0000
F81IG	60	-3112.3306	6344.6612	0.0000	1.0000
GTR	63	-3114.0133	6354.0266	0.0000	1.0000
K2PIG	58	-3120.1887	6356.3773	0.0000	1.0000
SYMI	61	-3118.1663	6358.3325	0.0000	1.0000
K2PG	57	-3122.4172	6358.8345	0.0000	1.0000
F81I	59	-3122.7494	6363.4989	0.0000	1.0000
K2PI	57	-3130.6046	6375.2093	0.0000	1.0000
HKY	59	-3138.9453	6395.8906	0.0000	1.0000
JC69IG	57	-3153.4217	6420.8434	0.0000	1.0000
JC69G	56	-3157.5271	6427.0542	0.0000	1.0000
JC69I	56	-3163.6924	6439.3848	0.0000	1.0000
F81	58	-3177.8220	6471.6439	0.0000	1.0000
SYM	60	-3177.2498	6474.4996	0.0000	1.0000
K2P	56	-3188.6305	6489.2611	0.0000	1.0000
JC69	55	-3220.5773	6551.1546	0.0000	1.0000



(Output sorted by BIC. w: Akaike weight, cw: cumulative w.)

Model	df	lnL		BIC		wBIC	cwBIC
GTRIG	65	-3044.3449	6527.1302	0.7129	0.7129
GTRG	64	-3048.6276	6528.9504	0.2869	0.9998
GTRI	64	-3056.1845	6544.0642	0.0001	1.0000
HKYG	60	-3071.4928	6547.6999	0.0000	1.0000
HKYIG	61	-3069.6056	6550.6705	0.0000	1.0000
HKYI	60	-3083.4408	6571.5958	0.0000	1.0000
F81G	59	-3110.5580	6619.0850	0.0000	1.0000
K2PG	57	-3122.4172	6629.3129	0.0000	1.0000
F81IG	60	-3112.3306	6629.3754	0.0000	1.0000
K2PIG	58	-3120.1887	6631.6010	0.0000	1.0000
SYMG	61	-3110.2013	6631.8621	0.0000	1.0000
SYMIG	62	-3108.0052	6634.2151	0.0000	1.0000
F81I	59	-3122.7494	6643.4678	0.0000	1.0000
K2PI	57	-3130.6046	6645.6877	0.0000	1.0000
SYMI	61	-3118.1663	6647.7919	0.0000	1.0000
GTR	63	-3114.0133	6652.9765	0.0000	1.0000
HKY	59	-3138.9453	6675.8595	0.0000	1.0000
JC69IG	57	-3153.4217	6691.3219	0.0000	1.0000
JC69G	56	-3157.5271	6692.7874	0.0000	1.0000
JC69I	56	-3163.6924	6705.1180	0.0000	1.0000
F81	58	-3177.8220	6746.8676	0.0000	1.0000
K2P	56	-3188.6305	6754.9943	0.0000	1.0000
SYM	60	-3177.2498	6759.2138	0.0000	1.0000
JC69	55	-3220.5773	6812.1426	0.0000	1.0000



To specify default values for best AIC, AICc, or BIC models in MrBayes:

[Mrbayes block for the best AIC model (GTRIG)]

BEGIN MRBAYES;
 Charset 261-aggressive-phylip/10999_hg18.phylip = 1 - 850;
 Partition Dummy = 1:261-aggressive-phylip/10999_hg18.phylip;
 Set partition = Dummy;
 Lset applyto=(1) nst=6 rates=invgamma;
 Prset applyto=(1) revmatpr=Dirichlet(1.0,1.0,1.0,1.0,1.0,1.0) statefreqpr=Dirichlet(1.0,1.0,1.0,1.0) shapepr=Uniform(0.1,50.0) pinvarpr=Uniform(0.0,1.0);
END;


[Mrbayes block for the best AICc model (GTRIG)]

BEGIN MRBAYES;
 Charset 261-aggressive-phylip/10999_hg18.phylip = 1 - 850;
 Partition Dummy = 1:261-aggressive-phylip/10999_hg18.phylip;
 Set partition = Dummy;
 Lset applyto=(1) nst=6 rates=invgamma;
 Prset applyto=(1) revmatpr=Dirichlet(1.0,1.0,1.0,1.0,1.0,1.0) statefreqpr=Dirichlet(1.0,1.0,1.0,1.0) shapepr=Uniform(0.1,50.0) pinvarpr=Uniform(0.0,1.0);
END;


[Mrbayes block for the best BIC model (GTRIG)]

BEGIN MRBAYES;
 Charset 261-aggressive-phylip/10999_hg18.phylip = 1 - 850;
 Partition Dummy = 1:261-aggressive-phylip/10999_hg18.phylip;
 Set partition = Dummy;
 Lset applyto=(1) nst=6 rates=invgamma;
 Prset applyto=(1) revmatpr=Dirichlet(1.0,1.0,1.0,1.0,1.0,1.0) statefreqpr=Dirichlet(1.0,1.0,1.0,1.0) shapepr=Uniform(0.1,50.0) pinvarpr=Uniform(0.0,1.0);
END;


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End of Output

