[R-sig-ME] Please help me to interpret this result

[Sachiin M H]

Hi,
objective - to examine neighbourhood effects on individual survival at
multiple life history stages.

Kindly help me to interpret the results such as
survival rates of sapling = ...... , Juvenile= ........, adult= ......



Metadata

survival= alive 0 and dead 1, size = sapling, adult and juvenile, con
and het = con and heterospecific density at 5 m radius, INT = 1,2,3
census interval, sp= species codes, quadrat = 5 1ha sites *100
(10*10m) subplots.




summary(model5)Generalized linear mixed model fit by maximum
likelihood (Laplace Approximation) ['glmerMod']
Family: binomial ( cloglog )
Formula: survival ~ size + CON_5 + HET_5 + INT + (1 + size | sp) + (1
| quadrat)
Data: sf
Offset: time
Control: glmerControl(optCtrl = list(maxfun = 20000))

AIC BIC logLik deviance df.resid
45063.2 45176.7 -22518.6 45037.2 45668

Scaled residuals:
Min 1Q Median 3Q Max
-2.6449 -0.6093 -0.3445 0.6770 7.8842

Random effects:
Groups Name Variance Std.Dev. Corr
quadrat (Intercept) 0.20809 0.4562
sp (Intercept) 0.87971 0.9379
sizeJ 0.03747 0.1936 -0.41
sizeS 0.49247 0.7018 -0.82 0.86
Number of obs: 45681, groups: quadrat, 500; sp, 60

Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -3.96230 0.17254 -22.965 < 2e-16 ***
sizeJ 0.68744 0.09500 7.236 4.62e-13 ***
sizeS 1.99743 0.14818 13.480 < 2e-16 ***
CON_5 0.11348 0.01215 9.337 < 2e-16 ***
HET_5 0.06551 0.01547 4.235 2.28e-05 ***
INT 0.32286 0.01358 23.769 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Correlation of Fixed Effects:
(Intr) sizeJ sizeS CON_5 HET_5
sizeJ -0.590
sizeS -0.857 0.767
CON_5 -0.022 0.000 -0.001
HET_5 -0.075 0.000 0.000 0.107
INT -0.189 0.039 0.056 0.290 0.398
convergence code: 0
Model failed to converge with max|grad| = 0.00950462 (tol = 0.001, component 1)