Model

Parameter as a function of covariates

Number of

parameters

Comparison to model

Log

Likelihood

−2 (logLR)

p-value

f

b

g

1

int

int

int

5

−7087.924

2

int + pH

int

int

6

1

−7051.742

72.364

<0.0001

3

int

int + pH

int

6

1

−7088.574

0

0.9999

4

int

int

int + pH

6

1

−7087.469

0.91

0.340

5

int + S

int

int

6

1

−7083.645

8.558

0.003

6

int

int + S

int

6

1

−7088.068

0

0.9999

7

int

int

int + S

6

1

−7087.771

0.306

0.580

8

int + TP

int

int

6

1

−7100.969

0

0.9999

9

int

int + TP

int

6

1

−7041.934

91.98

<0.0001

10

int

int

int + TP

6

1

−7084.677

6.494

0.011

11

int + N

int

int

6

1

−7020.683

134.482

<0.0001

12

int

int + N

int

6

1

−7112.818

0

0.9999

13

int

int

int + N

6

1

−7113.944

0

0.9999

14

int + pH + S

int

int

7

2

−7039.702

24.08

<0.0001

15

int + pH + N

int

int

7

2

−6958.700

186.084

<0.0001

16

int + S + N

int

int

7

2

−7014.577

74.33

<0.0001

17

int + pH + N + S

int

int

8

15

−6952.366

12.668

<0.001

18

int + pH + N

int + TP

int

8

15

−6881.009

155.382

<0.0001

19

int + pH + S

int + TP

int

8

15

−6967.294

0

0.9999

20

int + pH + N + S

int + TP

int

9

18

−6875.410

11.198

<0.001