• using R Under development (unstable) (2025-01-24 r87627)
  • using platform: x86_64-apple-darwin20
  • R was compiled by     Apple clang version 14.0.0 (clang-1400.0.29.202)     GNU Fortran (GCC) 14.2.0
  • running under: macOS Ventura 13.3.1
  • using session charset: UTF-8
  • checking for file ‘prodest/DESCRIPTION’ ... OK
  • checking extension type ... Package
  • this is package ‘prodest’ version ‘1.0.1’
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  • checking whether package ‘prodest’ can be installed ... [7s/9s] OK See the install log for details.
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  • checking R code for possible problems ... [6s/7s] OK
  • checking Rd files ... [0s/0s] NOTE checkRd: (-1) block.boot.resample.Rd:7: Lost braces; missing escapes or markup?      7 | Function to generate R vectors of resampled IDs. It works reshuffling the row number of the original data - which is stored in the input \code{idvar} along with the relative IDs. The output is a list (N_{i}x1xR), where N_{i} is a random number depending on the reshuffle.        | ^ checkRd: (-1) block.boot.resample.Rd:7: Lost braces; missing escapes or markup?      7 | Function to generate R vectors of resampled IDs. It works reshuffling the row number of the original data - which is stored in the input \code{idvar} along with the relative IDs. The output is a list (N_{i}x1xR), where N_{i} is a random number depending on the reshuffle.        | ^ checkRd: (-1) checkM.Rd:23: Lost braces     23 | \code{checkM()} accepts one input and - if code{input} is a matrix - returns it without column names, otherwise transforms it into a matrix and returns it without column names.        | ^ checkRd: (-1) checkMD.Rd:23: Lost braces     23 | \code{checkMD()} accepts one input and - if code{input} is a matrix - returns it without column names, otherwise transforms it into a matrix and returns it without column names. In case any of the elements of input are different from 0 or 1, it stops the routine and throws an error.        | ^ checkRd: (-1) gACF.Rd:47: Lost braces; missing escapes or markup?     47 | \code{gACF()} estimates the second stage of ACF routine. It accepts 7 inputs, generates and optimizes over the group of moment functions E(xi_{it}Z^{k}_{it}).        | ^ checkRd: (-1) gACF.Rd:47: Lost braces; missing escapes or markup?     47 | \code{gACF()} estimates the second stage of ACF routine. It accepts 7 inputs, generates and optimizes over the group of moment functions E(xi_{it}Z^{k}_{it}).        | ^ checkRd: (-1) gACF.Rd:47: Lost braces; missing escapes or markup?     47 | \code{gACF()} estimates the second stage of ACF routine. It accepts 7 inputs, generates and optimizes over the group of moment functions E(xi_{it}Z^{k}_{it}).        | ^ checkRd: (-1) gOPLP.Rd:55: Lost braces; missing escapes or markup?     55 | \code{gOPLP()} estimates the second stage of OP and LP routines. It accepts 7 inputs, generates and optimizes over the group of moment functions E(e_{it}X^{k}_{it}).        | ^ checkRd: (-1) gOPLP.Rd:55: Lost braces; missing escapes or markup?     55 | \code{gOPLP()} estimates the second stage of OP and LP routines. It accepts 7 inputs, generates and optimizes over the group of moment functions E(e_{it}X^{k}_{it}).        | ^ checkRd: (-1) gOPLP.Rd:55: Lost braces; missing escapes or markup?     55 | \code{gOPLP()} estimates the second stage of OP and LP routines. It accepts 7 inputs, generates and optimizes over the group of moment functions E(e_{it}X^{k}_{it}).        | ^ checkRd: (-1) lagPanel.Rd:31: Lost braces; missing escapes or markup?     31 | \code{lagPanel()} accepts three inputs (the ID, the time and the variable to be lagged) and returns the vector of lagged variable. Lagged inputs with no correspondence - i.e., X_{-1} - are returned as NA.        | ^ checkRd: (-1) panelSim.Rd:53-55: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:56-58: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:59-61: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:62-64: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:65-67: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:68-70: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:71-73: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:74-76: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) panelSim.Rd:77-79: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) prodestACF.Rd:58: Lost braces; missing escapes or markup?     58 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestACF.Rd:58: Lost braces; missing escapes or markup?     58 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestLP.Rd:60: Lost braces; missing escapes or markup?     60 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestLP.Rd:60: Lost braces; missing escapes or markup?     60 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestOP.Rd:60: Lost braces; missing escapes or markup?     60 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestOP.Rd:60: Lost braces; missing escapes or markup?     60 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestROB.Rd:41: Lost braces; missing escapes or markup?     41 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestROB.Rd:41: Lost braces; missing escapes or markup?     41 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestWRDG.Rd:41: Lost braces; missing escapes or markup?     41 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestWRDG.Rd:41: Lost braces; missing escapes or markup?     41 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestWRDG_GMM.Rd:44: Lost braces; missing escapes or markup?     44 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) prodestWRDG_GMM.Rd:44: Lost braces; missing escapes or markup?     44 | where \eqn{y_{it}} is the (log) output, w_{it} a 1xJ vector of (log) free variables, k_{it} is a 1xK vector of state variables and \eqn{\epsilon_{it}} is a normally distributed idiosyncratic error term.        | ^ checkRd: (-1) weightM.Rd:51: Lost braces; missing escapes or markup?     51 | \code{weightM()} accepts at least 7 inputs: Y, X1, X2, Z1, Z2, betas and numR. With these, computes the optimal weighting matrix in a system GMM framework, i.e. W* = sigma*Z'Z. If it is called during the first stage, it returns W*, otherwise will return an estimate of the parameters' standard errors, i.e., the square root of the diagonal of the variance-covariance matrix: 1/N( (X'Z) W* (Z'X) )^{-1}.        | ^
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  • DONE Status: 1 NOTE
  • using check arguments '--no-clean-on-error '