Maintainer: ‘Yin Song <yinsong@uvic.ca>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Yin",
                      family = "Song",
                      role = c("aut", "cre"),
                      email = "yinsong@uvic.ca"),
               person(given = "Shufei",
                      family = "Ge",
                      role = "aut"),
               person(given = "Liangliang",
                      family = "Wang",
                      role = "aut"),
               person(given = "Jiguo",
                      family = "Cao",
                      role = "aut"),
               person(given = "Keelin",
                      family = "Greenlaw",
                      role = "aut"),
               person(given = "Mary",
                      family = "Lesperance",
                      role = "aut"),
               person(given = c("Farouk", "S."),
                      family = "Nathoo",
                      role = "aut"))
as necessary.
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
Maintainer: ‘Yin Song <yinsong@uvic.ca>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Yin",
                      family = "Song",
                      role = c("aut", "cre"),
                      email = "yinsong@uvic.ca"),
               person(given = "Shufei",
                      family = "Ge",
                      role = "aut"),
               person(given = "Liangliang",
                      family = "Wang",
                      role = "aut"),
               person(given = "Jiguo",
                      family = "Cao",
                      role = "aut"),
               person(given = "Keelin",
                      family = "Greenlaw",
                      role = "aut"),
               person(given = "Mary",
                      family = "Lesperance",
                      role = "aut"),
               person(given = c("Farouk", "S."),
                      family = "Nathoo",
                      role = "aut"))
as necessary.
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^
checkRd: (-1) sp_bgsmtr.Rd:42: Lost braces; missing escapes or markup?
    42 | \item{c.star}{The threshold for computing posterior tail probabilities p_{ij} for Bayesian FDR as defined in Section 3.2 of  Song, Ge et al.(2019). If not specified the default is to set this threshold as the minimum posterior standard deviation, where the minimum is taken over all regression coefficients in the model.}
       |                                                                          ^