* using log directory 'd:/Rcompile/CRANpkg/local/4.4/pampe.Rcheck' * using R version 4.4.2 (2024-10-31 ucrt) * using platform: x86_64-w64-mingw32 * R was compiled by gcc.exe (GCC) 13.3.0 GNU Fortran (GCC) 13.3.0 * running under: Windows Server 2022 x64 (build 20348) * 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 * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'pampe' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... [0s] OK * checking whether the package can be loaded with stated dependencies ... [0s] OK * checking whether the package can be unloaded cleanly ... [0s] OK * checking whether the namespace can be loaded with stated dependencies ... [0s] OK * checking whether the namespace can be unloaded cleanly ... [0s] OK * checking loading without being on the library search path ... [0s] OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [3s] OK * checking Rd files ... [1s] 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