A summary method for singleRStaticCountData class
# S3 method for singleRStaticCountData
summary(
object,
test = c("t", "z"),
resType = "pearson",
correlation = FALSE,
confint = FALSE,
cov,
popSizeEst,
...
)An object of summarysingleRStaticCountData class containing:
call -- A call which created object.
coefficients -- A dataframe with estimated regression coefficients
and their summary statistics such as standard error Wald test statistic and
p value for Wald test.
residuals -- A vector of residuals of type specified at call.
aic -- Akaike's information criterion.
bic -- Bayesian (Schwarz's) information criterion.
iter -- Number of iterations taken in fitting regression.
logL -- Logarithm of likelihood function evaluated at coefficients.
deviance -- Residual deviance.
populationSize -- Object with population size estimation results.
dfResidual -- Residual degrees of freedom.
sizeObserved -- Size of observed population.
correlation -- Correlation matrix if correlation parameter was set to TRUE
test -- Type of statistical test performed.
model -- Family class object specified in call for object.
skew -- If bootstrap sample was saved contains estimate of skewness.
object of singleRStaticCountData class.
type of test for significance of parameters "t" for t-test
and "z" for normal approximation of students t distribution, by
default "z" is used if there are more than 30 degrees of freedom
and "t" is used in other cases.
type of residuals to summarize any value that is allowed in
residuals.singleRStaticCountData except for "all" is allowed. By default
pearson residuals are used.
logical value indicating whether correlation matrix should
be computed from covariance matrix by default FALSE.
logical value indicating whether confidence intervals for
regression parameters should be constructed. By default FALSE.
covariance matrix corresponding to regression parameters.
It is possible to give cov argument as a function of object.
If not specified it will be constructed using vcov.singleRStaticCountData method.
(i.e using Cramer-Rao lower bound)
a popSizeEstResults class object.
If not specified population size estimation results will be drawn from
object. If any post-hoc procedures, such as sandwich covariance matrix
estimation or bias reduction, were taken it is possible to include them in
population size estimation results by calling redoPopEstimation.
additional optional arguments passed to the following functions:
vcov.singleRStaticCountData -- if no cov argument was provided.
cov -- if cov parameter specified at call was a function.
confint.singleRStaticCountData -- if confint parameter was set to TRUE at function call.
In particular it is possible to set confidence level in ....
Works
analogically to summary.glm but includes population size estimation
results. If any additional statistics, such as confidence intervals for
coefficients or coefficient correlation, are specified they will be printed.
redoPopEstimation() stats::summary.glm()