DBI, classInt, dbplyr, forecast (>= 8.3), ISLR, nycflights13,
randomForest, rpart, RSQLite

dplyr (>= 0.7.6), extrafont (>= 0.17), ggplot2 (>= 3.0.0),
grid, gridExtra, hrbrthemes (>= 0.8.0), htmltools, kableExtra,
knitr (>= 1.22), methods, mice, pagedown (>= 0.15), partykit,
purrr, reactable, rlang, rmarkdown, shiny, tibble, tidyr,
tidyselect, utils
DBI, classInt, dbplyr, forecast (>= 8.3), ISLR, nycflights13,
randomForest, rpart, prettydoc, RSQLite

dplyr (>= 0.7.6), showtext (>= 0.9-4), sysfonts (>= 0.7.1),
ggplot2 (>= 3.0.0), grid, gridExtra, hrbrthemes (>= 0.8.0),
htmltools, kableExtra, knitr (>= 1.22), methods, mice, pagedown
(>= 0.15), partykit, purrr, reactable, rlang, rmarkdown, shiny,
tibble, tidyr, tidyselect, utils

DBI, classInt, dbplyr, forecast (>= 8.3), ISLR, nycflights13,
randomForest, rpart, prettydoc, RSQLite, ranger, stringi

DBI, classInt, dbplyr, forecast (>= 8.3), funModeling, ISLR,
nycflights13, ppsr, randomForest, rpart, prettydoc, RSQLite,
ranger, stringi

c(
person(given = "Jonathan",
family = "Bratt",
role = c("aut"),
email = "jonathan.bratt@macmillan.com",
comment = c(ORCID = "0000-0003-2859-0076")),
person(given = "Jon",
family = "Harmon",
role = c("aut", "cre"),
email = "jonthegeek@gmail.com",
comment = c(ORCID = "0000-0003-4781-4346")),
person(given = "Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning",
role = c("cph", "fnd"))
)
The goal of dlr is to provide a friendly wrapper around the common
pattern of downloading a file if that file does not already exist locally.
Jonathan Bratt [aut] (<https://orcid.org/0000-0003-2859-0076>),
Jon Harmon [aut, cre] (<https://orcid.org/0000-0003-4781-4346>),
Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph, fnd]

Fit distributed-lag structural equation models and perform path analysis at different time lags.

Estimation and path analysis functionalities for structural equation models with polynomial lag shapes.

Estimation and path analysis functionalities for structural equation models with second-order polynomial lag shapes.