Imports: bookdown, dplyr, ggplot2 (>= 3.4.0), rmarkdown, xaringan,
crayon, pdftools, rlang, servr, readr, rstudioapi, tibble,
tidytext, bib2df, stringr, fs, usethis, gender, pagedown
Packaged: 2022-11-09 14:09:07 UTC; henriquesposito

Title: Download Data from the International House Price Database
Description: Web scraping the <https://www.dallasfed.org> for up-to-date data on international
house prices and exuberance indicators. Download data in tidy format.

Description: Web scraping the <https://www.dallasfed.org> for
up-to-date data on international house prices and exuberance
indicators. Download data in tidy format.
Imports: curl (>= 4.3), dplyr (>= 0.8.3), httr (>= 1.4.0), lubridate

Title: Inverse Hyperbolic Sine Distribution
Description: Density, distribution function, quantile function and random generation for the inverse hyperbolic sine distribution. This package also provides a function that can fit data to the inverse hyperbolic sine distribution using maximum likelihood estimation.
Packaged: 2015-02-25 05:40:24 UTC; carterdavis

Description: Testing whether data is independent and identically distributed
License: GPL version 2 or newer. The use should be acknowledged in publication acknowledgement: .. "results were obtained using iid-test by Benestad (The Norwegian Meteorological Institute and the Norwegian Research Council's RegClim programme)."
Packaged: Thu Aug 11 11:46:05 2005; rasmusb

Packaged: Mon Aug 29 10:23:10 2005; rasmusb

Packaged: Tue Aug 22 13:57:31 2006; rasmusb

Packaged: Fri Sep  7 12:21:15 2007; rasmusb

Packaged: Fri Sep  7 13:57:20 2007; rasmusb

Description: Testing whether data is independent and identically

Packaged: Tue Nov 20 09:04:53 2007; rasmusb

Packaged: Wed Nov 21 16:33:27 2007; rasmusb

Packaged: Mon Oct 13 10:57:11 2008; rasmusb

Efficient algorithms for fitting linear / logistic regression model with Independently Interpretable Lasso.
Takada, M., Suzuki, T., & Fujisawa, H. (2018). Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS.
Suggests: testthat, knitr, rmarkdown, MASS, parallel