Package: ARCensReg
Type: Package
Title: Fitting Univariate Censored Linear Regression Model with
        Autoregressive Errors
Version: 3.0.2
Authors@R: 
  c(person(given = "Fernanda",
           family = "L. Schumacher",
           role = c("aut", "cre"),
           email = "fernandalschumacher@gmail.com",
           comment = c(ORCID = "0000-0002-5724-8918")),
  person(given = "Katherine A.",
           family = "L. Valeriano",
           role = c("ctb"),
           email = "katandreina@gmail.com",
           comment = c(ORCID = "0000-0001-6388-4753")),
  person(given = "Victor H.",
           family = "Lachos",
           role = "ctb",
           email = "hlachos@uconn.edu",
           comment = c(ORCID = "0000-0002-7239-2459")),
  person(given = "Christian",
           family = "G. Morales",
           role = "ctb",
           email = "cgalarza88@gmail.com",
           comment = c(ORCID = "0000-0002-4818-6006")),
  person(given = "Larissa",
           family = "A. Matos",
           role = "ctb",
           email = "larissam@unicamp.br",
           comment = c(ORCID = "0000-0002-2635-0901")))
Description: It fits a univariate left, right, or interval censored
        linear regression model with autoregressive errors, considering
        the normal or the Student-t distribution for the innovations.
        It provides estimates and standard errors of the parameters,
        predicts future observations, and supports missing values on
        the dependent variable. References used for this package:
        Schumacher, F. L., Lachos, V. H., & Dey, D. K. (2017). Censored
        regression models with autoregressive errors: A
        likelihood-based perspective. Canadian Journal of Statistics,
        45(4), 375-392 <doi:10.1002/cjs.11338>. Schumacher, F. L.,
        Lachos, V. H., Vilca-Labra, F. E., & Castro, L. M. (2018).
        Influence diagnostics for censored regression models with
        autoregressive errors. Australian & New Zealand Journal of
        Statistics, 60(2), 209-229 <doi:10.1111/anzs.12229>. Valeriano,
        K. A., Schumacher, F. L., Galarza, C. E., & Matos, L. A.
        (2024). Censored autoregressive regression models with
        Student‐t innovations. Canadian Journal of Statistics, 52(3),
        804-828 <doi:10.1002/cjs.11804>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: ggplot2, gridExtra, matrixcalc, methods, msm, mvtnorm,
        numDeriv, qqplotr, Rcpp, Rdpack, stats, tmvtnorm, utils
RdMacros: Rdpack
LinkingTo: RcppArmadillo, Rcpp
Suggests: SMNCensReg
NeedsCompilation: yes
Config/pak/sysreqs: libfftw3-dev
Repository: https://fernandalschumacher.r-universe.dev
Date/Publication: 2025-08-25 19:12:51 UTC
RemoteUrl: https://github.com/fernandalschumacher/arcensreg
RemoteRef: HEAD
RemoteSha: 426ecc6a3ed85d7dfe0227024c12138d2229d082
Packaged: 2026-07-05 01:27:43 UTC; root
Author: Fernanda L. Schumacher [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5724-8918>),
  Katherine A. L. Valeriano [ctb] (ORCID:
    <https://orcid.org/0000-0001-6388-4753>),
  Victor H. Lachos [ctb] (ORCID: <https://orcid.org/0000-0002-7239-2459>),
  Christian G. Morales [ctb] (ORCID:
    <https://orcid.org/0000-0002-4818-6006>),
  Larissa A. Matos [ctb] (ORCID: <https://orcid.org/0000-0002-2635-0901>)
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>