getEffSize: Summarize of effective sample size
In drkowal/dfosr: Dynamic Function-on-Scalars Regression
Description
Usage
Arguments
Value
Examples
View source: R/helper_functions.R
Description
Compute the summary statistics for the effective sample size (ESS) across
posterior samples for possibly many variables
Usage
1
getEffSize(postX)
Arguments
postX
An array of arbitrary dimension (nsims x ... x ...), where nsims is the number of posterior samples
Value
Table of summary statistics using the function summary().
Examples
1
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# ESS for iid simulations:
rand_iid = rnorm(n = 10^4)
getEffSize(rand_iid)
# ESS for several AR(1) simulations with coefficients 0.1, 0.2,...,0.9:
rand_ar1 = sapply(seq(0.1, 0.9, by = 0.1), function(x) arima.sim(n = 10^4, list(ar = x)))
getEffSize(rand_ar1)
drkowal/dfosr documentation built on May 7, 2020, 3:09 p.m.
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Description Usage Arguments Value Examples
View source: R/helper_functions.R
Description
Compute the summary statistics for the effective sample size (ESS) across posterior samples for possibly many variables
Usage
1 | getEffSize(postX)
|
Arguments
postX |
An array of arbitrary dimension |
Value
Table of summary statistics using the function summary().
Examples
1 2 3 4 5 6 7 | # ESS for iid simulations:
rand_iid = rnorm(n = 10^4)
getEffSize(rand_iid)
# ESS for several AR(1) simulations with coefficients 0.1, 0.2,...,0.9:
rand_ar1 = sapply(seq(0.1, 0.9, by = 0.1), function(x) arima.sim(n = 10^4, list(ar = x)))
getEffSize(rand_ar1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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