sanon (version 1.2)

confint.sanon: Confidence Intervals for Model Parameters

Description

Computes confidence intervals for one or more parameters in a fitted model.

Usage

## S3 method for class 'sanon':
confint(object, parm = NULL,
    level = 0.95, ...)

  ## S3 method for class 'confint.sanon':
print(x, ...)

Arguments

object,x

an object of class "sanon", usually, a result of a call to sanon

parm

a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.

level

the confidence level required.

...

further arguments passed to or from other methods.

Value

• ci
  A matrix (or vector) with columns giving Mann-Whiteney estimates and their lower and upper confidence limits for each parameter with estimates. The interval will be labelled as Lower for (1 - level)/2 limit and Upper for 1 - (1 - level)/2 limit (by default 0.025 and 0.975).
• level
  Confidence level
• advarnames
  Adjust variable names in the weighted least squares method

Details

Confidence intervals for adjusted parameters in the weighted least squares are computed based on an asymptotic normal.

Examples

##### Example 3.1 Randomized Clinical Trial of Chronic Pain #####
data(cpain)
out1 = sanon(response ~ grp(treat, ref="placebo") + strt(center) + strt(diagnosis), data=cpain)
confint(out1)

##### Example 3.2 Randomized Clinical Trial of Respiratory Disorder #####
data(resp)
P = rbind(rep(0, 4), diag(4), rep(0, 4))
out23 = sanon(cbind(baseline, visit1, visit2, visit3, visit4) ~ grp(treatment, ref="P")
 + strt(center) + strt(sex) + covar(age), data=resp, P=P)
# each four visits
confint(out23)