packages_to_install.R

## below a list of packages that we will need for the practical sessions of this course
## make sure that you have them installed in your local R environment

library("DT")
library("fpp")
library("plm")
library("zoo")
library("fpp2")
library("broom")
library("knitr")
library("sweep")
library("timetk")
library("sommer")
library("ggpubr")
library("lmtest")
library("GGally")
library("xgboost")
library("tseries")
library("ggplot2")
library("corrplot")
library("forecast")
library("contrast")
library("survival")
library("MLmetrics")
library("survminer")
library("lubridate")
library("tidyverse")
library("tidymodels")
library("data.table")

## day 3
library("gt")         # nice t
library("car")        # useful for anova/wald test
library("Epi")        # easy getting CI for model coef/pred
library("lme4")       # linear mixed-effects models
library("rstatix")    # summary statistics
library("emmeans")    # marginal means
library("geepack")    # generalized estimating equations
library("labelled")   # labeling data
library("lmerTest")   # test for linear mixed-effects models
library("multcomp")   # CI for linear combinations of model coef
library("ggeffects")  # marginal effects, adjusted predictions


## day 4
library("grid")
library("igraph")
library("Matrix")
library("reshape2")
library("gridExtra")
library("surveillance")