densv | R Documentation |
These are saved results from toy examples used in other documentation page for the package. They give estimates by simulation of log-likelihoods of the (mu,s2)
parameters of a Gaussian distribution for a given sample of size 20 with mean 4.1416238 and (bias-corrected) variance 0.9460778. densv
is based on the sample mean and sample variance as summary statistics, and densb
on more contrived summary statistics.
data("densv")
data("densb")
Data frames (with additional attributes) with observations on the following 5 variables.
mu
a numeric vector; mean parameter of simulated Gaussian samples
s2
a numeric vector; variance parameter of simulated Gaussian samples
sample.size
a numeric vector; size of simulated Gaussian samples
logL
a numeric vector; log probability density of a given statistic vector inferred from simulated values for the given parameters
isValid
a boolean vector. See infer_logLs
for its meaning.
Both data frames are return objects of a call to infer_logLs
, and as such they includes attributes providing information about the parameter names and statistics names (not detailed here).
See step (3) of the workflow in the Example on the main Infusion
documentation page, showing how densv
was produced, and the Example in project
showing how densb
was produced.
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