| Name : R-RATest
| |
| Version : 0.1.10
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.4.5
| Date : 2024-06-14 11:51:21
|
| Group : Development/Libraries/Other
| Source RPM : R-RATest-0.1.10-lp153.4.5.src.rpm
|
| Size : 0.44 MB
| |
| Packager : (none)
| |
| Summary : Randomization Tests
|
Description :
A collection of randomization tests, data sets and examples. The
current version focuses on five testing problems and their
implementation in empirical work. First, it facilitates the empirical
researcher to test for particular hypotheses, such as comparisons of
means, medians, and variances from k populations using robust
permutation tests, which asymptotic validity holds under very weak
assumptions, while retaining the exact rejection probability in finite
samples when the underlying distributions are identical. Second, the
description and implementation of a permutation test for testing the
continuity assumption of the baseline covariates in the sharp
regression discontinuity design (RDD) as in Canay and Kamat (2018)
< https://goo.gl/UZFqt7>. More specifically, it allows the user to
select a set of covariates and test the aforementioned hypothesis using
a permutation test based on the Cramer-von Misses test statistic.
Graphical inspection of the empirical CDF and histograms for the
variables of interest is also supported in the package. Third, it
provides the practitioner with an effortless implementation of a
permutation test based on the martingale decomposition of the empirical
process for testing for heterogeneous treatment effects in the presence
of an estimated nuisance parameter as in Chung and Olivares (2021)
< doi:10.1016/j.jeconom.2020.09.015>. Fourth, this version considers the
two-sample goodness-of-fit testing problem under covariate adaptive
randomization and implements a permutation test based on a prepivoted
Kolmogorov-Smirnov test statistic. Lastly, it implements an
asymptotically valid permutation test based on the quantile process for
the hypothesis of constant quantile treatment effects in the presence
of an estimated nuisance parameter.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
