Packaged: 2019-07-10 10:42:17 UTC; amandinepierrot

Title: Constrained Likelihood Ratio Tests for a Directed Acyclic Graph
Author: Chunlin Li, Xiaotong Shen, Wei Pan
Description: Provides MLEdag() for constrained maximum likelihood estimation and likelihood ratio test of a large directed acyclic graph. The algorithms are described in the paper by Li, Shen, and Pan (2019) <doi:10.1080/01621459.2019.1623042>.

Title: Central Limit Theorem Experiments (Theoretical and Simulation)
Description: Central limit theorem experiments presented by data frames or plots. Functions include generating theoretical sample space, corresponding probability, and simulated results as well.

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Authors@R: person("James", "Pustejovsky", email = "jepusto@gmail.com", role = c("aut", "cre"))
Description: Provides several cluster-robust variance estimators
(i.e., sandwich estimators) for ordinary and weighted least squares linear
regression models. Several adjustments are incorporated to improve small-
sample performance. The package includes functions for estimating the variance-
covariance matrix and for testing single- and multiple-contrast hypotheses
based on Wald test statistics. Tests of single regression coefficients use
Satterthwaite or saddle-point corrections. Tests of multiple-contrast hypotheses
use an approximation to Hotelling's T-squared distribution.  Methods are
provided for a variety of fitted models, including lm(), plm() (from package 'plm'),
gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from
Suggests: Formula, knitr, car, metafor, robumeta, nlme, mlmRev, AER,

regression models, including the bias-reduced linearization estimator introduced
by Bell and McCaffrey (2002) <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf>
and developed further by Pustejovsky and Tipton (2016) <DOI:10.1080/07350015.2016.1247004>.
The package includes functions for estimating the variance-

and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>.
provided for a variety of fitted models, including lm(), glm(), plm() (from package 'plm'),
Suggests: Formula, knitr, car, geepack, metafor, robumeta, nlme,