summary.etasclass: Summary method for etasclass objects

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/summary.etasclass.R

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

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

Arguments

object

an etaclass object to pass to summary.

...

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

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## Not run: 
data("italycatalog")
# load a sample catalog of the italian seismicity


etas.flp=etasclass(italycatalog,  
magn.threshold = 3.0,  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 = 0.001)
# execution of etasclass for events with minimum magnitude of 3.0. 
# 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 method for the etasclass object

summary(etas.flp)
Call: 
 
etasclass(cat.orig = italycatalog, magn.threshold = 3, 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", sectoday = TRUE, usenlm = TRUE, 
    epsmax = 0.001)

 
 
etas flp 
Execution started:                  2015-06-02 13:01:04 
Elapsed time of execution (hours)   0.2473813 
Number of observations             2158 
Magnitude threshold                3 
declustering                        TRUE 
Number of declustering iterations   4 
Kind of declustering                weighting 
flp                                 TRUE 
sequence of AIC values for each iteration 
49620.08 48458.86 48418.2 48415.17 
 
------------------------------------------------------- 
 
ETAS Parameters: 
            Estimates       std.err.
mu           0.355850       0.011294
k0           0.008373       0.002053
c            0.009404       0.001795
p            1.121630       0.016271
a            1.509371       0.064077
gamma        0.857945       0.084688
d            1.915139       0.306384
q            1.836391       0.067067
------------------------------------------------------- 


## End(Not run)

etasFLP documentation built on May 1, 2019, 6:48 p.m.