arsenal (version 0.5.0)

modelsum.control: Control settings for modelsum function

Description

Control test and summary settings for modelsum function.

Usage

modelsum.control(digits = 3, nsmall = NULL, nsmall.ratio = 2,
  digits.test = 3, show.adjust = TRUE, show.intercept = TRUE,
  conf.level = 0.95, binomial.stats = c("OR", "CI.lower.OR", "CI.upper.OR",
  "p.value", "concordance", "Nmiss"), gaussian.stats = c("estimate",
  "std.error", "p.value", "adj.r.squared", "Nmiss"), poisson.stats = c("RR",
  "CI.lower.RR", "CI.upper.RR", "p.value", "concordance", "Nmiss"),
  survival.stats = c("HR", "CI.lower.HR", "CI.upper.HR", "p.value",
  "concordance", "Nmiss"), ...)

Arguments

digits

Numeric, denoting the number of significant digits for beta coefficients and standard errors.

nsmall

Numeric, denoting the number of digits after the decimal point for beta coefficients and standard errors.

nsmall.ratio

Numeric, denoting the number of digits after the decimal point for ratios, e.g. OR, RR, HR.

digits.test

Numeric, denoting the number of significant digits for p-values.

show.adjust

Logical, denoting whether to show adjustment terms.

show.intercept

Logical, denoting whether to show intercept terms.

conf.level

Numeric, giving the confidence level.

binomial.stats, survival.stats, gaussian.stats, poisson.stats

Character vectors denoting which stats to show for the various model types.

...

Other arguments (not in use at this time).

Value

A list with settings to be used within the modelsum function.

See Also

modelsum, summary.modelsum