• using R version 4.4.2 (2024-10-31)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-14 (Debian 14.2.0-8) 14.2.0     GNU Fortran (Debian 14.2.0-8) 14.2.0
• running under: Debian GNU/Linux trixie/sid
• using session charset: UTF-8
• checking for file ‘pampe/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘pampe’ version ‘1.1.2’
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
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• checking whether package ‘pampe’ can be installed ... OK See the install log for details.
• checking package directory ... OK
• checking for future file timestamps ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
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• checking use of S3 registration ... OK
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• checking S3 generic/method consistency ... OK
• checking replacement functions ... OK
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• checking R code for possible problems ... [4s/6s] OK
• checking Rd files ... [0s/0s] NOTE checkRd: (-1) pampe.Rd:54: Lost braces; missing escapes or markup?     54 | The way they propose to estimate the outcome of the treated unit under no treatment, Y^0_{1t}, is to use the following modeling strategy: use R^2 (or likelihood values) in order to select the best OLS estimator for Y^0_{1t} using j out of the J units in the donor pool, denoted by M(j)* for j=1, ..., J; then choose M(m)* from M(1)*, ..., M(J)* in terms of a model selection criterion, like AICc, AIC or BIC. Note that the method calculates OLS models of up to J+1 parameters; so that if the length of the pre-treatment period t=1, 2, ..., T'-1 is not of a much higher order than that, the regressions M(J-1)*, M(J)* can not be calculated because there are not enough degrees of freedom.        | ^ checkRd: (-1) pampe.Rd:54: Lost braces; missing escapes or markup?     54 | The way they propose to estimate the outcome of the treated unit under no treatment, Y^0_{1t}, is to use the following modeling strategy: use R^2 (or likelihood values) in order to select the best OLS estimator for Y^0_{1t} using j out of the J units in the donor pool, denoted by M(j)* for j=1, ..., J; then choose M(m)* from M(1)*, ..., M(J)* in terms of a model selection criterion, like AICc, AIC or BIC. Note that the method calculates OLS models of up to J+1 parameters; so that if the length of the pre-treatment period t=1, 2, ..., T'-1 is not of a much higher order than that, the regressions M(J-1)*, M(J)* can not be calculated because there are not enough degrees of freedom.        | ^ checkRd: (-1) pampe.Rd:56: Lost braces; missing escapes or markup?     56 | To avoid this problem, the pampe package proposes the following slight modification to the previously outlined modeling strategy: use R^2 in order to select the best OLS estimator for Y^0_{1t} using j out of the J units in the donor pool, denoted by M(j)* for j=1, ..., T_0-4; then choose M(m)* from M(1)*, ..., M(T_0-4)* in terms of a model selection criterion (in our case AICc). Note that the key difference is that while we allowed models up to M(J)*, this is now modified to allow models up to M(T_0-4)*, with T_0-4<J, which allows for at least 3 degrees of freedom. This is implemented through the default value of nvmax, which is equal to J, or if not possible, to J-4. The user can of course override this default.        | ^
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• checking for unstated dependencies in examples ... OK
• checking contents of ‘data’ directory ... OK
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• checking examples ... [2s/2s] OK
• checking PDF version of manual ... [4s/6s] OK
• checking HTML version of manual ... [0s/0s] OK
• checking for non-standard things in the check directory ... OK
• DONE

Status: 1 NOTE