Imports: crayon, generics, ggplot2 (>= 3.0.0), magrittr, pander,

Suggests: boot, broom, broom.mixed, ggstance, huxtable (>= 3.0.0),
kableExtra, lme4, lmerTest, MASS, methods, pbkrtest,
RColorBrewer, sandwich, scales, survey, weights, knitr,

Imports: crayon, generics, ggplot2 (>= 3.3.0), magrittr, pander,

Packaged: 2020-11-16 03:24:55 UTC; jacoblong

Packaged: 2021-01-07 20:34:49 UTC; jacoblong

Packaged: 2021-03-11 19:10:33 UTC; jacoblong

Packaged: 2021-09-02 20:20:59 UTC; jacoblong

Description: This is a collection of tools for more efficiently understanding
and sharing the results of (primarily) regression analyses. There are also a
number of miscellaneous functions for statistical and programming purposes.
Support for models produced by the survey and lme4 packages are points of
Packaged: 2022-04-25 16:56:28 UTC; jacoblong

Title: Johnson transformation for normality.
Description: Transforming non-normal data to normality using Johnson families
Packaged: 2013-07-24 17:06:01 UTC; wangyuchen

Title: Johnson Transformation for Normality
Description: Transforming univariate non-normal data to normality using Johnson
families of distributions. Johnson family is a comprehensive distribution
family that accommodates many kinds of non-normal distributions. A bunch of
distributions with various parameters will be fit and the corresponding
p-values under a user-specified normality test will be given. The final
transformation will be the one with the largest p-value under the given
Packaged: 2015-03-18 08:34:10 UTC; yuchenwang

Title: Forecast Long-Term Growth of the U.S. Stock Market
Description: A long-term forecast model called "Jubilee-Tectonic model" is implemented to forecast future returns of the U.S. stock market, Treasury yield, and gold price. The five-factor model can forecast the 10-year and 20-year future equity returns with high R-squared above 80 percent. It is based on linear growth and mean reversion characteristics in the U.S. stock market. In addition, this model enhances the CAPE model by introducing the hypothesis that there are fault lines in the historical CAPE, which can be calibrated and corrected through statistical learning.
Imports: stats, yaml, utils, xts, zoo, splines, parallel, graphics,
Suggests: knitr, tinytex, R.rsp, testthat, roxygen2, scales, shape