etasFLP (version 1.0.2)

summary.etasclass: Summary method for etasclass objects

Description

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

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

Usage

## S3 method for class 'etasclass':
summary(object,...)

Arguments

object

an etaclass object to pass to summary.

...

other arguments.

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

Details

Displays summary information about an object of class etasclass.

See Also

etasclass,eqcat, profile.etasclass

Examples

data("italycatalog")
# load a sample catalog of the italian seismicity

etas.flp=etasclass(italycatalog,  magn.threshold = 3.1,  magn.threshold.back = 3.5,
k0 = 0.005,c = 0.005,p = 1.01, a = 1.05, gamma = 0.6, q = 1.52, d = 1.1,
params.ind = c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE),
declustering = TRUE, thinning = FALSE, flp = TRUE, ndeclust = 15,
onlytime = FALSE, is.backconstant = FALSE,
description = "etas flp",sectoday = TRUE, usenlm = TRUE, epsmax = 10e-04)

# execution of etasclass for events with minimum magnitude of 3.1. 
# The events with magnitude at least 3.5 are used to build a first approximation
# for the background intensity function
# (magn.threshold.back=3.5)

summary(etas.flp)
# summary merhod for the etasclass object
>summary(etas.flp)

Call: 
 
etasclass(cat.orig = italycatalog, magn.threshold = 3.1, magn.threshold.back = 3.5, 
    k0 = 0.005, c = 0.005, p = 1.01, a = 1.05, gamma = 0.6, d = 1.1, 
    q = 1.52, params.ind = c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
        TRUE, TRUE), declustering = TRUE, thinning = FALSE, flp = TRUE, 
    ndeclust = 15, onlytime = FALSE, is.backconstant = FALSE, 
    description = "etas flp", sectodacatalog-search.htmly = TRUE, usenlm = TRUE, 
    epsmax = 0.001)

 
etas flp 
Execution started:                  2014-02-04 13:17:29 
Elapsed time of execution (hours)   0.358737 
Number of observations             1700 
Magnitude threshold                3.1 
Number of declustering iterations   7 
Kind of declustering                weighting 
sequence of AIC values for each iteration 
40444.81 39058.33 39100.61 39101.3 39101.45 39027.12 39025.27 
 
------------------------------------------------------- 
 
ETAS Parameters: 
            Estimates       std.err.
mu           0.299141       0.010177
k0           0.008847       0.002832
c            0.012747       0.002752
p            1.149504       0.020206
a            1.640902       0.070027
gamma        0.932499       0.094271
d            2.010186       0.384154
q            1.926670       0.089593
-------------------------------------------------------