Create Disposable R Packages for Testing
Create disposable R packages for testing.
You can create, install and load multiple R packages with a single
function call, and then unload, uninstall and destroy them with another
function call. This is handy when testing how some R code or an R package
behaves with respect to other packages.

Analysis of Disposition Effect on Financial Portfolios
c(
person("Lorenzo", "Mazzucchelli", email = "lorenzo.mazzucchelli@unimi.it", role = "aut"),
person("Marco", "Zanotti", email = "zanottimarco17@gmail.com", role = c("aut", "cre")))
Evaluate the presence of disposition effect and others irrational
investor's behaviors based solely on investor's transactions and financial
market data. Experimental data can also be used to perform the analysis.
Four different methodologies are implemented to account for the different
nature of human behaviors on financial markets.
Novel analyses such as portfolio driven and time series disposition effect
are also allowed.
dplyr, purrr, lubridate, magrittr, progress, rlang,
devtools, knitr, rmarkdown, roxygen2, testthat, covr, tidyr,
skimr, ggplot2, ggridges, gghalves, furrr, future, foreach,
doParallel, parallel, bench
Lorenzo Mazzucchelli [aut],
Marco Zanotti [aut, cre]

dplyr, purrr, lubridate, magrittr, progress
devtools, knitr, rmarkdown, roxygen2, testthat, covr, tidyr,
skimr, ggplot2, ggridges, furrr, future, foreach, doParallel,
parallel, bench

c(
person("Pius", "Dahinden", , "pius.dahinden@tillotts.com", role = c("aut", "cre")),
person("Tillotts Pharma AG", , , "tillotts@tillotts.com", role = c("cph", "fnd"))
)
Similarity of dissolution profiles is assessed using the
similarity factor f2 according to the EMA guideline (European
Medicines Agency 2010) "On the investigation of bioequivalence".
Dissolution profiles are regarded as similar if the f2 value is
between 50 and 100. For the applicability of the similarity factor f2,
the variability between profiles needs to be within certain limits.
Often, this constraint is violated. One possibility in this situation
is to resample the measured profiles in order to obtain a bootstrap
estimate of f2 (Shah et al. (1998) <doi:10.1023/A:1011976615750>).
Other alternatives are the model-independent non-parametric
multivariate confidence region (MCR) procedure (Tsong et al. (1996)
<doi:10.1177/009286159603000427>) or the T2-test for equivalence
procedure (Hoffelder (2016)
<https://www.ecv.de/suse_item.php?suseId=Z|pi|8430>). Functions for
estimation of f1, f2, bootstrap f2, MCR / T2-test for equivalence
procedure are implemented.
Pius Dahinden [aut, cre],
Tillotts Pharma AG [cph, fnd]