The function outputs information to the screen and creates two output tables.
GLM2 Example 1 Onscreen Output
dfDevRatio |
devRatio |
dfDev |
deviance |
lambda |
0 |
2.3155999606359e-15 |
199 |
287.672234452864 |
0.522060074545705 |
1 |
0.252835382560055 |
198 |
214.938515003069 |
0.187618662922922 |
1 |
0.285724516586101 |
198 |
205.477224328577 |
0.0674266514397151 |
2 |
0.291092364886125 |
197 |
203.933043413905 |
0.024231882124864 |
2 |
0.292547804908229 |
197 |
203.514353730634 |
0.00870848690800394 |
2 |
0.292738550188869 |
197 |
203.459481609541 |
0.00312966792410483 |
2 |
0.29276365104296 |
197 |
203.452260790758 |
0.0011247443348819 |
2 |
0.29276688972071 |
197 |
203.451329113093 |
0.000404212155898542 |
2 |
0.292767310601548 |
197 |
203.451208037361 |
0.000145266316894411 |
2 |
0.292767359699846 |
197 |
203.451193913144 |
5.22060074545706e-05 |
GLM2 Example 1 Model Table glm2_lasso_model
group |
information |
value |
A |
FAMILY : POISSON |
|
A |
RESPONSE : num_awards |
|
A |
REGULARIZER : LASSO |
|
A |
CONVERGED : true |
|
A |
NUMOBSERVATIONS |
200 |
B |
has_intercept |
1 |
B |
alpha |
1 |
B |
devnull |
287.672234452865 |
B |
maxNumLambdas |
10 |
B |
maxIterNum |
100000 |
B |
threshold |
1e-07 |
B |
minLambdaRatio |
0.0001 |
B |
iterationNum |
79 |
B |
minLambda |
5.22060074545706e-05 |
C |
intercept |
-5.5766613646 |
C |
math |
0.0861044506 |
C |
prog |
0.1230769507 |
GLM2 Example 1 Regularization Table glm2_regularization (Columns 1-4)
df_dev_ratio |
deviance_ratio |
df_dev |
deviance |
0 |
2.3155999606359e-15 |
199 |
287.672234452864 |
1 |
0.252835382560055 |
198 |
214.938515003069 |
1 |
0.285724516586101 |
198 |
205.477224328577 |
2 |
0.291092364886125 |
197 |
203.933043413905 |
2 |
0.292547804908229 |
197 |
203.514353730634 |
2 |
0.292738550188869 |
197 |
203.459481609541 |
2 |
0.29276365104296 |
197 |
203.452260790758 |
2 |
0.29276688972071 |
197 |
203.451329113093 |
2 |
0.292767310601548 |
197 |
203.451208037361 |
2 |
0.292767359699846 |
197 |
203.451193913144 |
GLM2 Example 1 Regularization Table glm2_regularization (Columns 5-8)
lambda |
intercept |
math |
prog |
0.522060074545705 |
-0.4620354596 |
0 |
0 |
0.187618662922922 |
-3.474053956 |
0.0546564845 |
0 |
0.0674266514397151 |
-4.6383122967 |
0.0745575487 |
0 |
0.024231882124864 |
-5.1481338496 |
0.0819282453 |
0.0350038202 |
0.00870848690800394 |
-5.4215383741 |
0.0846018544 |
0.0911403822 |
0.00312966792410483 |
-5.5210823104 |
0.0855658029 |
0.1116709262 |
0.0011247443348819 |
-5.5575725933 |
0.0859216969 |
0.1190959763 |
0.000404212155898542 |
-5.5706478142 |
0.0860486438 |
0.1217705047 |
0.000145266316894411 |
-5.5753457856 |
0.0860942091 |
0.1227324598 |
5.22060074545706e-05 |
-5.5766613646 |
0.0861044506 |
0.1230769507 |