Track Geo Code Changes in all Regional Granularity in Norway
person(given = "Yusman",
family = "Kamaleri",
role = c("aut", "cre"),
email = "ybkamaleri@gmail.com"
)
Regional granularity levels in Norway which are depicted by different codes,
have undergone several changes over the years.
Identifying when codes have changed and how many changes have taken place
can be troublesome. This package will help to identify these changes and when the changes
have taken place. One of the limitation of this package is that it is heavily depending
on the codes available from SSB website <https://data.ssb.no/api/klass/v1/api-guide.html>.
data.table (>= 1.14.0), odbc, DBI, magrittr, RSQLite, writexl,
httr, jsonlite

person(given = "Yusman",
family = "Kamaleri",
role = c("aut", "cre"),
email = "ybkamaleri@gmail.com",
comment = c(ORCID = "0000-0001-5014-3665")
)
data.table (>= 1.14.0), odbc, DBI, magrittr, RSQLite, writexl,
httr, jsonlite, vcr, progressr
testthat (>= 3.0.0), pkgdown, knitr, rmarkdown
Yusman Kamaleri [aut, cre] (<https://orcid.org/0000-0001-5014-3665>)

Tracking Geo Code Change of Regional Granularity in Norway
testthat (>= 3.0.0), pkgdown, vcr, knitr, rmarkdown

testthat (>= 3.0.0), pkgdown, vcr (>= 0.6.0), knitr,
rmarkdown

Analysis of Multivariate Normal Datasets with Missing Values
Ported to R by Alvaro A. Novo <alvaro@novo-online.net>.
Original by Joseph L. Schafer <jls@stat.psu.edu>.
An integrated set of functions for the analysis of
multivariate normal datasets with missing values, including implementation of
the EM algorithm, data augmentation, and multiple imputation.

norm
1.0-2
Original by Joseph L. Schafer <jls@stat.psu.edu>.
Ported to R by Alvaro A. Novo <novo@uiuc.edu>
Analysis of multivariate normal datasets with missing values
The software may be distributed free of charge and
used by anyone if credit is given. It has been tested
fairly well, but it comes with no guarantees and the
authors assume no liability for its use or misuse. For
additional details see
http://www.stat.psu.edu/~jls/misoftwa.html#aut