Title: Data Package of Portland, Oregon Trees
Description: An engaging collection of datasets from Portland Parks and Recreation. The city of Portland inventoried every tree in over 170 parks and along the streets in 96 neighborhoods.
Suggests: knitr, rmarkdown, leaflet, leaflet.extras, gganimate, infer,
moderndive, readr, utils, gifski, ggplot2, forcats
Packaged: 2020-08-10 21:03:01 UTC; mcconville

Title: Moment Condition Based Estimation of Linear Dynamic Panel Data
Authors@R: c(person("Markus", "Fritsch", role = c("aut", "cre"),
person("Joachim", "Schnurbus", role = c("aut"),
person("Andrew Adrian Yu", "Pua", role = c("aut"),
Suggests: plm (>= 2.2-0), testthat, R.rsp (>= 0.43.2)
Description: Linear dynamic panel data modeling based on linear and
nonlinear moment conditions as proposed by
Estimation of the model parameters relies on numerical optimization
and the computation of closed form solutions. For inference and specification
corrected standard errors, serial correlation tests, tests for overidentification,

Estimation of the model parameters relies on the Generalized
Method of Moments (GMM), numerical optimization (when nonlinear
moment conditions are employed) and the computation of closed
form solutions (when estimation is based on linear moment
conditions). One-step, two-step and iterated estimation is
available. of closed form solutions. For inference and specification
corrected standard errors, serial correlation tests, tests for
overidentification, and Wald tests are available. Functions for
visualizing panel data structures and modeling results obtained
from GMM estimation are also available. The plot methods include
functions to plot unbalanced panel structure, coefficient ranges
and coefficient paths across GMM iterations (the latter is
implemented according to the plot shown in

are available. Additionally, serial correlation tests, tests for
overidentification, and Wald tests are provided. Functions for

available. For inference and specification
For a more detailed description of the functionality, please