parameters (version 0.2.0)

ci.merMod: Confidence Interval (CI)

Description

Compute confidence intervals (CI) for frequentist models.

Usage

# S3 method for merMod
ci(x, ci = 0.95, method = c("wald", "kenward",
  "boot"), ...)
# S3 method for glm
ci(x, ci = 0.95, method = c("profile", "wald"), ...)
# S3 method for glmmTMB
ci(x, ci = 0.95, component = c("all", "conditional",
  "zi", "zero_inflated"), ...)
# S3 method for zeroinfl
ci(x, ci = 0.95, component = c("all", "conditional",
  "zi", "zero_inflated"), ...)
# S3 method for hurdle
ci(x, ci = 0.95, component = c("all", "conditional",
  "zi", "zero_inflated"), ...)
# S3 method for MixMod
ci(x, ci = 0.95, component = c("all", "conditional",
  "zi", "zero_inflated"), ...)

Arguments

x

A statistical model.

ci

Confidence Interval (CI) level. Default to 0.95 (95%).

method

For mixed models of class merMod, can be "wald" (default), "kenward" or "boot" (see p_value_kenward and lme4::confint.merMod). For generalized linear models, can be "profile" (default) or "wald".

...

Arguments passed to or from other methods.

component

Should all parameters, parameters for the conditional model, or for the zero-inflated part of the model be returned? Applies to models with zero-inflated component. component may be one of "conditional", "zi", "zero-inflated" or "all" (default). May be abbreviated.

Value

A data frame containing the CI bounds.

Examples

# NOT RUN {
library(parameters)
library(glmmTMB)

model <- glmmTMB(
  count ~ spp + mined + (1 | site),
  ziformula = ~mined,
  family = poisson(),
  data = Salamanders
)

ci(model)
ci(model, component = "zi")
# }