<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>swchouchen.r-universe.dev</title><link>https://swchouchen.r-universe.dev</link><description>Recent package updates in swchouchen</description><generator>R-universe</generator><image><url>https://github.com/swchouchen.png</url><title>R packages by swchouchen</title><link>https://swchouchen.r-universe.dev</link></image><lastBuildDate>Tue, 04 Nov 2025 21:51:48 GMT</lastBuildDate><item><title>[swchouchen] aplms 0.1.0</title><author>shuwei.chou@ucr.ac.cr (Shu Wei Chou-Chen)</author><description>Set of tools for fitting the additive partial linear
models with symmetric autoregressive errors of order p, or
APLMS-AR(p). This setup enables the modeling of a time series
response variable using linear and nonlinear structures of a
set of explanatory variables, with nonparametric components
approximated by natural cubic splines or P-splines. It also
accounts for autoregressive error terms with distributions that
have lighter or heavier tails than the normal distribution. The
package includes various error distributions, such as normal,
generalized normal, Student's t, generalized Student's t,
power-exponential, and Cauchy distributions. Chou-Chen, S.W.,
Oliveira, R.A., Raicher, I., Gilberto A. Paula (2024)
&lt;doi:10.1007/s00362-024-01590-w&gt;.</description><link>https://github.com/r-universe/swchouchen/actions/runs/39762245704</link><pubDate>Tue, 04 Nov 2025 21:51:48 GMT</pubDate><r:package>aplms</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://swchouchen.r-universe.dev</r:repository><r:upstream>https://github.com/swchouchen/aplms</r:upstream></item></channel></rss>