inference-class: An S4 class that stores inferential values of a fitted model...

In inference: Functions to extract inferential values of a fitted model object

Description

An S4 class that stores inferential values of a fitted model object.

Details

An S4 class that inherits from the matrix class in the methods package; see class?matrix. Rows correspond to different coefficients and columns consist of point estimates (point.est), confidence intervals (ci.lo and ci.hi), p-values (p.value), and sample size (n).

Slots

.Data:

model:

(character) String specifying class of model fit, such as "lm".

sample.size:

(numeric) Sample size used in model fit.

robust.se:

(logical) Boolean indicator whether robust standard errors were used.

two.sided:

(logical) Boolean indicator whether p-values corresond to a two-sided test or one-sided.

ci.level:

(numeric) Confidence level, e.g., 0.95.

scale:

(character) Scale of point estimates; defaults to "beta".

others:

(list) List containing other information about the model; eg, summary of cluster size for gee and lme objects; number of events for coxph objects.

Extends

matrix

inference documentation built on May 1, 2019, 9:21 p.m.