checkRd: (-1) ProfilePlot.Rd:16: Lost braces
    16 |   \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to  1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
       |                                                                                                                                                                               ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
    34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
       |                                                                      ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
    36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
       |                                                             ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
    34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
       |                                                                      ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
    36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
       |                                                             ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
    36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
       |                                                                      ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
    38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
       |                                                             ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
    39 |   \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous  case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
       |                                                                                                                                                                                                                                                            ^