PANICr
1.0.0PANIC Tests of Nonstationarity
Overview
A methodology that makes use of the factor structure of large dimensional panels to understand the nature of nonstationarity inherent in data. This is referred to as PANIC, Panel Analysis of Nonstationarity in Idiosyncratic and Common Components. PANIC (2004)doi:10.1111/j.1468-0262.2004.00528.x includes valid pooling methods that allow panel tests to be constructed. PANIC (2004) can detect whether the nonstationarity in a series is pervasive, or variable specific, or both. PANIC (2010) doi:10.1017/s0266466609990478 includes two new tests on the idiosyncratic component that estimates the pooled autoregressive coefficient and sample moment, respectively. The PANIC model approximates the number of factors based on Bai and Ng (2002) doi:10.1111/1468-0262.00273.
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2020-04-11check problems were not corrected despite reminders
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.0.02016-09-24 · diff ↗
- 0.1.32016-08-28 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 0.0.0.52015-02-05 · diff ↗
- 0.0.0.22014-10-24
- RR 3.1.0 released · 2014-04-10
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- 4
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- GPL-3 OSI
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- ≥ 2.10.0
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