Simulations of grouped responses relative to baseline.
Functions to simulate Poisson or Normally distributed responses relative to
a baseline and compute achieved significance level and powers for tests on the
simulated responses.

c(person("Maxwell", "Hong", email = "maxwell.hong@gmail.com", role = c("aut", "cre")), person("Shao", "Can", email = "cshao@nd.edu", role = c("ctb")))
Person fit statistics based on Quality Control measures are provided for questionnaires and tests given a specified IRT model. Statistics based on Cumulative Sum (CUSUM) charts are provided. Options are given for banks with polytomous and dichotomous data.

Word Embedding Research Framework for Psychological Science
An integrated toolkit of word embedding research that provides:
(1) a collection of 'pre-trained' word vectors in the '.RData'
compressed format <https://psychbruce.github.io/WordVector_RData.pdf>;
(2) a variety of functions to process, analyze, and visualize word vectors;
(3) a range of tests to examine conceptual associations, including
the Word Embedding Association Test <doi:10.1126/science.aal4230>
and the Relative Norm Distance <doi:10.1073/pnas.1720347115>;
(4) a set of training methods to locally train word vectors from
text corpora, including 'Word2Vec' <arXiv:1301.3781>,
'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>.
bruceR, dplyr, stringr, data.table, vroom, ggplot2, ggrepel,
Rtsne, rgl, rsparse, text2vec, word2vec, fastTextR

An integrated toolbox of word embedding research that provides:
(1) a collection of 'pre-trained' word vectors in the '.RData'
compressed format <https://psychbruce.github.io/WordVector_RData.pdf>;
(2) a variety of functions to process, analyze, and visualize word vectors;
(3) a range of tests to examine conceptual associations, including
the Word Embedding Association Test <doi:10.1126/science.aal4230>
and the Relative Norm Distance <doi:10.1073/pnas.1720347115>,
with permutation test of significance;
(4) a set of training methods to locally train word vectors from
text corpora, including 'Word2Vec' <arXiv:1301.3781>,
'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>.
bruceR, dplyr, stringr, data.table, vroom, cli, purrr,
ggplot2, ggrepel, Rtsne, rgl, rsparse, text2vec, word2vec,
fastTextR