Struct LplrLzz2020 

pub struct LplrLzz2020 {
    pub n_obs: usize,
    pub dim_x: usize,
    pub alpha: f64,
    pub balanced_r0: bool,
    pub treatment: LplrTreatment,
}

Liu, Zhang and Zhou (2020): a binary outcome with P(y = 1) = expit(αd + r₀(x)), equicorrelated covariates (0.2) clipped to [−2, 2]. generate also returns the outcome probabilities.

Fields

n_obs: usize

dim_x: usize

alpha: f64

balanced_r0: bool

treatment: LplrTreatment

Implementations

impl LplrLzz2020

pub fn generate(&self, seed: u64) -> Result<(Simulated, Array1<f64>)>

The data set and the outcome probabilities p.

Trait Implementations

impl Clone for LplrLzz2020

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LplrLzz2020

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for LplrLzz2020

fn default() -> Self

Returns the “default value” for a type.

impl PartialEq for LplrLzz2020

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for LplrLzz2020