coefs: Tidy coefficients from a fitted mlvar model

In Nestimate: Network Estimation, Bootstrap, and Higher-Order Analysis

Tidy coefficients from a fitted mlvar model

Description

Generic accessor for the tidy coefficient table stored on a build_mlvar() result. Returns a data.frame with one row per ⁠(outcome, predictor)⁠ pair and columns outcome, predictor, beta, se, t, p, ci_lower, ci_upper, significant.

Usage

coefs(x, ...)

## S3 method for class 'net_mlvar'
coefs(x, ...)

## Default S3 method:
coefs(x, ...)

Arguments

x	A fitted model object — currently only net_mlvar is supported.
...	Unused.

Details

Only the within-person (temporal) coefficients are tabulated — these are the lagged fixed effects that populate fit$temporal. The between-subjects effects that go into fit$between are handled via the D (I - Gamma) transformation and are not exposed as a separate tidy table.

Value

A tidy data.frame of coefficient estimates.

Examples

## Not run: 
d <- simulate_data("mlvar", seed = 1)
fit <- build_mlvar(d, vars = attr(d, "vars"),
                   id = "id", day = "day", beep = "beep")
print(fit)
summary(fit)

## End(Not run)

Nestimate documentation built on April 20, 2026, 5:06 p.m.