Struct LinearMixedModel 

pub struct LinearMixedModel {
    pub config: LmmConfig,
}

Linear Mixed Model with random intercepts (and optionally random slopes).

Estimation via a two-step EM / REML procedure.

Fields

config: LmmConfig

Implementations

impl LinearMixedModel

pub fn new() -> Self

Create a new LMM with default configuration.

pub fn with_config(config: LmmConfig) -> Self

Create an LMM with custom configuration.

pub fn fit<F>( &self, x: &ArrayView2<'_, F>, y: &ArrayView1<'_, F>, entity: &[usize], ) -> StatsResult<LmmResult<F>>

where F: Float + Sum + Debug + Display + NumAssign + One + ScalarOperand + FromPrimitive + Send + Sync + 'static,

Fit an LMM via iterated GLS (equivalent to REML EM for balanced data).

Arguments

• x – (N × K) design matrix (fixed effects, without intercept)
• y – response (N)
• entity – entity IDs (0-indexed, length N)

Trait Implementations

impl Default for LinearMixedModel

fn default() -> Self

Returns the “default value” for a type.