| Package : : Function | Purpose |
|---|---|
lme4::lmer() |
The lme4 package provides functions for fitting linear and generalized linear mixed-effects models. The lmer() function fits linear mixed-effects regression models via restricted (or residual, or reduced) maximum likelihood (REML) or maximum likelihood. |
| panelr | A newer package designed to aid in the analysis of panel data, designs in which the same group of respondents/entities are contacted/measured multiple times. It aims to simplify the fitting of panel models that use multilevel models for estimation, especially the kind that produces within-entity effects. |
| plm | An older package for linear modelling of panel data from an econometrics perspective, de-focusing from maximum likelihood estimation. It automates some basic data management tasks such as lagging and summing. |
| pglm | Written by the same author as the plm package, it extends the plm econometrics approach to panel data analysis to generalised linear models. |
Week 6 coding
Temporalities: Panel, longitudinal and time-series analysis
The application workshop will use functions from the following packages:
Explore the package websites for an overview of the purposes and the main functions of these packages.