checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
    25 | Matrix Q is so-called Generator matrix:  \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
       |                                                                                                                                     ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
    25 | Matrix Q is so-called Generator matrix:  \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
       |                                                                                                                                                      ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
    34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}$ is a vector of matrix X.
       |                                                        ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
    34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}$ is a vector of matrix X.
       |                                                                                                            ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
    34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}$ is a vector of matrix X.
       |                                                                                                                                             ^
checkRd: (-1) VarY.Rd:31: Lost braces; missing escapes or markup?
    31 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time
       |                                                        ^
checkRd: (-1) Ysimulation.Rd:30: Lost braces; missing escapes or markup?
    30 | The i-th response $Y_{i}$ is defined by the following formula: $Y_{i}(t)=x_{i}\eqn{\beta} + Z_{i} sqrt{t}, i=1,...,n.$
       |                      ^
checkRd: (-1) Ysimulation.Rd:30: Lost braces; missing escapes or markup?
    30 | The i-th response $Y_{i}$ is defined by the following formula: $Y_{i}(t)=x_{i}\eqn{\beta} + Z_{i} sqrt{t}, i=1,...,n.$
       |                                                                   ^
checkRd: (-1) Ysimulation.Rd:30: Lost braces; missing escapes or markup?
    30 | The i-th response $Y_{i}$ is defined by the following formula: $Y_{i}(t)=x_{i}\eqn{\beta} + Z_{i} sqrt{t}, i=1,...,n.$
       |                                                                            ^
checkRd: (-1) Ysimulation.Rd:30: Lost braces; missing escapes or markup?
    30 | The i-th response $Y_{i}$ is defined by the following formula: $Y_{i}(t)=x_{i}\eqn{\beta} + Z_{i} sqrt{t}, i=1,...,n.$
       |                                                                                               ^
checkRd: (-1) Ysimulation.Rd:30: Lost braces
    30 | The i-th response $Y_{i}$ is defined by the following formula: $Y_{i}(t)=x_{i}\eqn{\beta} + Z_{i} sqrt{t}, i=1,...,n.$
       |                                                                                                       ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
    29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
       |                                                                            ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
    29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
       |                                                                                                                                                                                               ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
    41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
       |                                                                               ^