glm giving different results in R 3.2.0 and R 3.2.2. Was there any substantial change in usage? - r

Question

I use glm monthly to calculate a binomial model on the payment behaviour of a credit database, using a call like:
modelx = glm(paid ~ ., data = credit_db, family = binomial())
For the last month, I use R version 3.2.2 (just recently upgraded) and the results were very different than the previous month (done with R version 3.2.0). In order to check the code, I repeated the previous month calculations with version 3.2.2 and got different results from the previous calculation done in R 3.2.0.
Coefficients are also very different, in a wild form. I use at the beginning an exploratory model, with a variable that is the average number of delinquency days during the month, which should yield low coefficients for low average. In version 3.2.0, an extract of summary(modelx) was:
## Coefficients: Estimate Std. Error z value
## delinquency_avg_days1 -0.59329 0.18581 -3.193
## delinquency_avg_days2 -1.32286 0.19830 -6.671
## delinquency_avg_days3 -1.47359 0.21986 -6.702
## delinquency_avg_days4 -1.64158 0.21653 -7.581
## delinquency_avg_days5 -2.56311 0.25234 -10.158
## delinquency_avg_days6 -2.59042 0.25886 -10.007
and for version 3.2.2
## Coefficients Estimate Std. Error z value
## delinquency_avg_days.L -1.320e+01 1.083e+03 -0.012
## delinquency_avg_days.Q -1.140e+00 1.169e+03 -0.001
## delinquency_avg_days.C 3.439e+00 1.118e+03 0.003
## delinquency_avg_days^4 8.454e+00 1.020e+03 0.008
## delinquency_avg_days^5 3.733e+00 9.362e+02 0.004
## delinquency_avg_days^6 -4.988e+00 9.348e+02 -0.005
The summary output is a little different, since the Pr(>|z|) is shown. Notice also that the coefficient names changed too.
In the dataset this delinquency_avg_days variable have the following distribution (0 is "not paid", 1 is "paid", and as you can see, coefficients might be large for average days larger than 20 or so. Number of paid was sampled to match closely the number of "not paid".
0 1
0 140 663
1 59 209
2 62 118
3 56 87
4 66 50
5 69 41
6 64 40
7 78 30
8 75 31
9 70 29
10 77 23
11 69 18
12 79 17
13 61 13
14 53 5
15 67 18
16 50 10
17 40 9
18 39 8
19 23 9
20 24 2
21 36 9
22 35 1
23 17 0
24 11 0
25 11 0
26 7 1
27 3 0
28 0 0
29 0 1
30 1 0
In previous months, I used this exploratory model to create a second binomial model using ranges af average delinquency days. But this other model gives similar results with a few levels.
Now, I'd like to know whether there are substantial changes that require specifying other parameters or there is an issue with glm in version 3.2.2.