checkRd: (-1) findInertInputs.Rd:36: Lost braces
    36 | In this method, a prior that has shrinkage effects is suggested to use, .e.g the jointly robust prior (i.e. one should set prior_choice='ref_approx' in rgasp() to obtain the use code{rgasp} object before using this function). Moreover, one may not add a lower bound of the range parameters to perform this method (i.e. one should set lower_bound=F in rgasp()).  For more details see Chapter 4 in 
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checkRd: (-1) generate_predictive_mean_cov.Rd:58: Lost braces; missing escapes or markup?
    58 | a lower triangular matrix for the cholesky decomposition of $X^tR^{-1}X$.
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checkRd: (-1) pred_rgasp.Rd:58: Lost braces; missing escapes or markup?
    58 | a lower triangular matrix for the cholesky decomposition of $X^tR^{-1}X$.
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checkRd: (-1) predict.ppgasp.Rd:38: Lost braces
    38 |   \item{loc_index}{specified coodinate index of the prediction. The default value is code{NA} and prediction will be computed for all coordinates. If e.g. loc_index=\code{c(3,5)}, it means the prediction will be computed on only the third and fifth coordinates, corresponding the coordinates of the third and fifth columns of the output matrix. }
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checkRd: (-1) separable_kernel.Rd:26: Lost braces
    26 | A vector specifying the type of kernels of each coordinate of the input. \code{matern_3_2} and \code{matern_5_2} are \code{Matern correlation} with roughness parameter 3/2 and 5/2 respectively. \code{pow_exp} is power exponential correlation with roughness parameter alpha. If \code{pow_exp} is to be used, one needs to specify its roughness parameter alpha. The default choice is \code{matern_5_2}. The \code{periodic_gauss} means the Gaussian kernel with periodic folding method with be used. The code{periodic_exp} means the exponential kernel with periodic folding method will be used.
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