standard_error: Extract Standard Errors from a Model Fit
| standard_error | R Documentation |
Extract Standard Errors from a Model Fit
Description
Extract standard errors of parameter estimates from a fitted model object. This is part of a family of functions for extracting statistical measures.
Usage
standard_error(x, ...)
## S3 method for class 'fmri_latent_lm'
standard_error(x, type = c("estimates", "contrasts"), recon = FALSE, ...)
## S3 method for class 'fmri_lm'
standard_error(x, type = c("estimates", "contrasts"), ...)
## S3 method for class 'fmri_lm'
standard_error(x, type = c("estimates", "contrasts"), ...)
Arguments
x |
The fitted model object |
... |
Additional arguments passed to methods |
type |
The type of standard errors to extract: "estimates" or "contrasts" (default: "estimates") |
recon |
Logical; whether to reconstruct the full matrix representation (default: FALSE) |
Value
A tibble or matrix containing standard errors of parameter estimates
See Also
Other statistical_measures:
p_values(),
stats()
Examples
# Create example data
event_data <- data.frame(
condition = factor(c("A", "B", "A", "B")),
onsets = c(1, 10, 20, 30),
run = c(1, 1, 1, 1)
)
# Create sampling frame and dataset
sframe <- sampling_frame(blocklens = 50, TR = 2)
dset <- fmridataset::matrix_dataset(
matrix(rnorm(100 * 2), 100, 2),
TR = 2,
run_length = 50,
event_table = event_data
)
# Fit model
fit <- fmri_lm(
onsets ~ hrf(condition),
block = ~run,
dataset = dset
)
# Extract standard errors
se <- standard_error(fit)
