The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
spduration implements a split-population duration model for duration data with time-varying covariates where a significant subset of the population or spells will not experience failure.
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo# Prepare data
data(coups)
dur.coups <- add_duration(coups, "succ.coup", unitID="gwcode", tID="year",
freq="year")
# Estimate model
model.coups <- spdur(duration ~ polity2, atrisk ~ polity2, data = dur.coups,
silent = TRUE)
summary(model.coups)## Call:
## spdur(duration = duration ~ polity2, atrisk = atrisk ~ polity2,
## data = dur.coups, silent = TRUE)
##
## Duration equation:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.00150 0.23762 16.840 < 2e-16 ***
## polity2 0.20588 0.03037 6.779 1.21e-11 ***
##
## Risk equation:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.5278 3.2556 2.005 0.0449 *
## polity2 0.8966 0.4084 2.196 0.0281 *
##
## Estimate Std. Error t value Pr(>|t|)
## log(alpha) -0.03204 0.11899 -0.269 0.788
## ---
## Signif. codes: *** = 0.001, ** = 0.01, * = 0.05, . = 0.1
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.