Conditional Probit Model for Analysing Continuous Outcomes
Implements the three-step workflow for robust analysis of change in
two repeated measurements of continuous outcomes, described in Ning et al.
(in press), "Robust estimation of the effect of an exposure on the change in
a continuous outcome", BMC Medical Research Methodology.

Functions for Working with Danish CPR Numbers
Calculate date of birth, age, and gender, and generate anonymous
sequence numbers from CPR numbers.
<https://en.wikipedia.org/wiki/Personal_identification_number_(Denmark)>.

Load CPS Microdata into R Using the 'Census Bureau Data' API
person(given = "Matt",
family = "Saenz",
role = c("aut", "cre"),
email = "mattsaenz165@gmail.com")
Load Current Population Survey (CPS) microdata into R using the
'Census Bureau Data' API
(<https://www.census.gov/data/developers/data-sets.html>), including basic
monthly CPS and CPS ASEC microdata.

Change-Point Detection by Sample-Splitting Methods
c(
person(given = "Guanghui",
family = "Wang",
role = c("aut", "cre"),
email = "ghwang.nk@gmail.com"),
person(given = "Changliang",
family = "Zou",
role = "aut",
email = "nk.chlzou@gmail.com")
)
Implements multiple change searching algorithms for a variety of
frequently considered parametric change-point models. In particular, it
integrates a criterion proposed by Zou, Wang and Li (2020)
<doi:10.1214/19-AOS1814> to select the number of change-points in a
data-driven fashion. Moreover, it also provides interfaces for
users-customized change-point models with their own cost function and
estimation routines.
Rcpp, magrittr, methods, stats, mvtnorm, Rfast, tibble, dplyr,
tidyr, rlang, ggplot2, gridExtra
Guanghui Wang [aut, cre],
Changliang Zou [aut]

Implements multiple change searching algorithms for a variety of
frequently considered parametric change-point models. In particular, it
integrates a criterion proposed by Zou, Wang and Li (2020)
<doi:10.1214/19-AOS1814> to select the number of change-points in a
data-driven fashion. Moreover, it also provides interfaces for
user-customized change-point models with one's own cost function and
parameter estimation routine. It is easy to get started with the
cpss.* set of functions by accessing their documentation pages
(e.g., ?cpss).