vb_summary {blocs}  R Documentation 
Summarize uncertainty for a vbdf objects. Analysis must have run with bootstrap iterations.
vb_uncertainty
is just an alias for vb_summary
.
vb_summary(
object,
type = c("discrete", "continuous", "binned"),
estimates = grep("probpr_turnoutpr_votedempr_voterepcond_repnet_rep",
names(object), value = TRUE),
na.rm = FALSE,
funcs = c("mean", "median", "low", "high"),
low_ci = 0.025,
high_ci = 0.975,
bin_col,
tolerance = sqrt(.Machine$double.eps)
)
vb_uncertainty(
object,
type = c("discrete", "continuous", "binned"),
estimates = grep("probpr_turnoutpr_votedempr_voterepcond_repnet_rep",
names(object), value = TRUE),
na.rm = FALSE,
funcs = c("mean", "median", "low", "high"),
low_ci = 0.025,
high_ci = 0.975,
bin_col,
tolerance = sqrt(.Machine$double.eps)
)
object 
a 
type 
a string naming the type of independent variable summary. Use

estimates 
character vector naming columns for which to calculate uncertainty estimates. 
na.rm 
logical indicating whether to remove 
funcs 
character vector of summary functions to apply to

low_ci 
numeric. If you include the string 
high_ci 
numeric. If you include the string 
bin_col 
character vector naming the column(s) that define the bins. Used only when 
tolerance 
tolerance used when checking range of probability estimates 
A summary object with additional columns for each combination
of estimates
and funcs
.