mmcsd {Mmcsd}

Fit fixed and random effects longitudinal model.

Description

Estimate the fixed effects of the model, also known as B parameters of the regression,taking into account the sampling plan of the research, and also estimating the covariance matrix of the model considering the estimates of B

Usage

mmcsd(formula, waves, ids, weights, stratum, cluster, data, sigma = "identity")

Arguments

formula

A formula

waves

a dataframe column or an array

ids

a dataframe column or an array

weights

a dataframe column or an array

stratum

a dataframe column or an array

cluster

a dataframe column or an array

data

A dataframe or tibble

sigma

A character or a square matrix

Value

The fit model with class 'mmcsd'.

Examples

fit <- mmcsd(
 score ~ wave + ageg + ecacg + qualifg,
 waves = wave, ids = id,
 weights = weight, stratum = strata, cluster = cluster,
 data = example_data, sigma = "exchangeable"
)