summary.etasclass: Summary method for etasclass objects

In etasFLP: Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description

Summary method for etasclass objects

Description

This is the main method to summarize the output of an object of class etasclass.

It gives some information on the execution and gives estimates of the ETAS parameters together with the standard errors.

More detailed output is avaliable by inspecting str(etasclass.object), and printing single objects.

Usage

## S3 method for class 'etasclass'
summary(object,full=FALSE,...)

Arguments

object	an etaclass object to pass to summary.
full	logical. New in version 2.2. If TRUE the full original call will be displayed together with some more output.
...	other arguments.

Details

Displays summary information about an object of class etasclass.

Value

Displays AIC values, parameters estimates and their standard errors, together with some information on the execution of the etasclass estimation process. Displays also the exact call of the function that generated etasclass

Author(s)

Marcello Chiodi, Giada Adelfio

See Also

etasclass,eqcat, profile.etasclass

Examples

## Not run: 
# summary method for the etasclass object esecov1 and esecov5 

(see examples in \code{\link{etasclass}})

## only with one covariate, the magnitude, classical ETAS model
>   summary(esecov1)
Call: 
 
etasclass(cat.orig = catalog.withcov, magn.threshold = 2.5, magn.threshold.back = 3.9, 
    mu = 0.3, k0 = 0.02, c = 0.015, p = 0.99, gamma = 0, d = 1, 
    q = 1.5, params.ind = c(TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, 
        TRUE), formula1 = "time ~  magnitude- 1", declustering = TRUE, 
    thinning = FALSE, flp = TRUE, ndeclust = 15, onlytime = FALSE, 
    is.backconstant = FALSE, sectoday = FALSE, usenlm = TRUE, 
    compsqm = TRUE, epsmax = 1e-04, iterlim = 100, ntheta = 36)

 
 
 
Execution started:                  2020-05-03 00:24:08 
Elapsed time of execution (hours)   0.2294818 
Number of observations             2226 
Magnitude threshold                2.5 
declustering                        TRUE 
Number of declustering iterations   6 
Kind of declustering                weighting 
flp                                 TRUE 
sequence of AIC values for each iteration 
44887.75 43348.46 43250.77 43249.77 43249.27 43249.19 
 
final AIC value 
44887.75 43348.46 43250.77 43249.77 43249.27 43249.19 
 
------------------------------------------------------- 
 
formula for covariates of the triggered components: 
time ~ magnitude - 1
<environment: 0x55968d6fd660>
ETAS Parameters: 
                 Estimates       std.err.
mu                0.667509       0.022620
k0                0.022393       0.005781
c                 0.014769       0.002708
p                 1.110059       0.015709
gamma             0.000000       0.000000
d                 1.905461       0.260360
q                 1.947223       0.077627
magnitude        0.740109       0.092558
------------------------------------------------------- 

#### using covariates
>   summary(esecov5)
Call: 
 
etasclass(cat.orig = catalog.withcov, magn.threshold = 2.5, magn.threshold.back = 3.9, 
    mu = 0.3, k0 = 0.02, c = 0.015, p = 0.99, gamma = 0, d = 1, 
    q = 1.5, params.ind = c(TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, 
        TRUE), formula1 = "time ~ z + magnitude +nstaloc_rev +min_distance_rev+distmin- 1", 
    declustering = TRUE, thinning = FALSE, flp = TRUE, ndeclust = 15, 
    onlytime = FALSE, is.backconstant = FALSE, sectoday = FALSE, 
    usenlm = TRUE, compsqm = TRUE, epsmax = 1e-04, iterlim = 100, 
    ntheta = 36)

 
 
 
Execution started:                  2020-05-03 12:22:31 
Elapsed time of execution (hours)   0.4827933 
Number of observations             2226 
Magnitude threshold                2.5 
declustering                        TRUE 
Number of declustering iterations   3 
Kind of declustering                weighting 
flp                                 TRUE 
sequence of AIC values for each iteration 
44693.04 42884.07 42706.16 
 
final AIC value 
44693.04 42884.07 42706.16 
 
------------------------------------------------------- 
 
formula for covariates of the triggered components: 
time ~ z + magnitude + nstaloc_rev + min_distance_rev + distmin - 
    1
<environment: 0x55968d5ed118>
ETAS Parameters: 
                       Estimates       std.err.
mu                      0.705351       0.022740
k0                      0.073070       0.021194
c                       0.019396       0.003435
p                       1.154186       0.016874
gamma                   0.000000       0.000000
d                       1.942929       0.272434
q                       2.004915       0.084784
z                      -0.041256       0.005779
magnitude              1.157698       0.085360
nstaloc_rev            -0.009010       0.001817
min_distance_rev       -0.011020       0.002804
distmin                -1.826717       0.298649
------------------------------------------------------- 



## End(Not run)

etasFLP documentation built on Sept. 14, 2023, 5:06 p.m.