summary.linear_fe {pprof} | R Documentation |
Result Summaries of Covariate Estimates from a fitted linear_fe
or linear_re
object
Description
Provide the summary statistics for the covariate estimates for a fixed/random effect linear model.
Usage
## S3 method for class 'linear_fe'
summary(object, parm, level = 0.95, null = 0, ...)
## S3 method for class 'linear_re'
summary(object, parm, level = 0.95, null = 0, ...)
Arguments
object |
a model fitted from |
parm |
Specifies a subset of covariates for which the result summaries should be output. By default, all covariates are included. |
level |
the confidence level during the hypothesis test, meaning a significance level of |
null |
a number defining the null hypothesis for the covariate estimates. The default value is |
... |
additional arguments that can be passed to the function. |
Value
A data frame containing summary statistics for covariate estimates, with the following columns:
Estimate |
the estimates of covariate coefficients. |
Std.Error |
the standard error of the estimate. |
Stat |
the test statistic. |
p value |
the p-value for the hypothesis test. |
CI.upper |
the lower bound of the confidence interval. |
CI.lower |
the upper bound of the confidence interval. |
Examples
data(ExampleDataLinear)
outcome <- ExampleDataLinear$Y
covar <- ExampleDataLinear$Z
ProvID <- ExampleDataLinear$ProvID
fit_fe <- linear_fe(Y = outcome, Z = covar, ProvID = ProvID)
summary(fit_fe)
data(ExampleDataLinear)
outcome <- ExampleDataLinear$Y
covar <- ExampleDataLinear$Z
ProvID <- ExampleDataLinear$ProvID
fit_re <- linear_fe(Y = outcome, Z = covar, ProvID = ProvID)
summary(fit_re)