Last updated on 2025-10-31 02:50:39 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags | 
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.1 | 12.01 | 103.04 | 115.05 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.0.1 | 9.75 | 72.80 | 82.55 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.0.1 | 27.00 | 149.09 | 176.09 | NOTE | |
| r-devel-linux-x86_64-fedora-gcc | 1.0.1 | 27.00 | 148.72 | 175.72 | NOTE | |
| r-devel-windows-x86_64 | 1.0.1 | 14.00 | 112.00 | 126.00 | NOTE | |
| r-patched-linux-x86_64 | 1.0.1 | 12.16 | 95.44 | 107.60 | NOTE | |
| r-release-linux-x86_64 | 1.0.1 | 10.67 | 95.62 | 106.29 | NOTE | |
| r-release-macos-arm64 | 1.0.1 | 5.00 | 46.00 | 51.00 | NOTE | |
| r-release-macos-x86_64 | 1.0.1 | 9.00 | 74.00 | 83.00 | NOTE | |
| r-release-windows-x86_64 | 1.0.1 | 13.00 | 114.00 | 127.00 | NOTE | |
| r-oldrel-macos-arm64 | 1.0.1 | 6.00 | 40.00 | 46.00 | NOTE | |
| r-oldrel-macos-x86_64 | 1.0.1 | 7.00 | 60.00 | 67.00 | NOTE | |
| r-oldrel-windows-x86_64 | 1.0.1 | 18.00 | 144.00 | 162.00 | NOTE | 
Version: 1.0.1
Check: CRAN incoming feasibility
Result: NOTE
  Maintainer: ‘Gabriele Rovigatti <gabriele.rovigatti@gmail.com>’
  
  No Authors@R field in DESCRIPTION.
  Please add one, modifying
    Authors@R: person(given = "Gabriele",
                      family = "Rovigatti",
                      role = c("aut", "cre"),
                      email = "gabriele.rovigatti@gmail.com")
  as necessary.
  
  Package CITATION file contains call(s) to old-style personList() or
  as.personList().  Please use c() on person objects instead.
  Package CITATION file contains call(s) to old-style citEntry().  Please
  use bibentry() instead.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.0.1
Check: Rd files
Result: 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}.
         |                                                                                                                                                                                                                                                                                                                                                                                                                ^
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64