Causal Inference with Qualitative and Ordinal Information on
Outcomes
Konstantin Kashin <kkashin@fas.harvard.edu>, Adam Glynn <aglynn@emory.edu>, Nahomi Ichino <nichino@umich.edu>
Exact one-sided p-values and confidence intervals for an outcome variable defined on an interval measurement scale with only qualitative and ordinal information available.

K.G. van den Boogaart, Stefanie Jachner and Thomas Petzoldt
Qualitative methods for the validation of models.

K.G. van den Boogaart, Stefanie Rost and Thomas Petzoldt

c(person("K. Gerald", "van den Boogaart", role = c("aut", "ths")),
person("Stefanie", "Rost", role = "aut"),
person("Thomas", "Petzoldt", role = c("aut", "ths", "cre"),
email = "thomas.petzoldt@tu-dresden.de"))
K. Gerald van den Boogaart [aut, ths],
Stefanie Rost [aut],
Thomas Petzoldt [aut, ths, cre]

Qualitative methods for the validation of dynamic models.
It contains (i) an orthogonal set of deviance measures for absolute,
relative and ordinal scale and (ii) approaches accounting for time
shifts. The first approach transforms time to take time delays and speed
differences into account. The second divides the time series into
interval units according to their main features and finds the longest
common subsequence (LCS) using a dynamic programming algorithm.

c(person("K. Gerald", "van den Boogaart", role = c("aut", "ths"),
comment = c(ORCID = "0000-0003-4646-943X")),
person("Stefanie", "Rost", role = "aut"),
person("Thomas", "Petzoldt", role = c("aut", "ths", "cre"),
comment=c(ORCID = "0000-0002-4951-6468"),
email = "thomas.petzoldt@tu-dresden.de"))
K. Gerald van den Boogaart [aut, ths]
(<https://orcid.org/0000-0003-4646-943X>),
Stefanie Rost [aut],
Thomas Petzoldt [aut, ths, cre]
(<https://orcid.org/0000-0002-4951-6468>)

This is a package for teaching statistical methods in the
field of Quality Science. It covers distribution fitting,
process capability, Gage R&R, factorial, fractional factorial
design as well as response surface methods including the use of
desirability functions.