CRAN Package Check Results for Package pampe

Last updated on 2024-04-18 17:51:33 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.2 2.74 26.65 29.39 NOTE
r-devel-linux-x86_64-debian-gcc 1.1.2 2.30 20.41 22.71 NOTE
r-devel-linux-x86_64-fedora-clang 1.1.2 37.20 NOTE
r-devel-linux-x86_64-fedora-gcc 1.1.2 35.78 NOTE
r-prerel-macos-arm64 1.1.2 16.00 NOTE
r-prerel-windows-x86_64 1.1.2 3.00 41.00 44.00 NOTE
r-patched-linux-x86_64 1.1.2 3.18 25.38 28.56 NOTE
r-release-linux-x86_64 1.1.2 2.35 25.45 27.80 OK
r-release-macos-arm64 1.1.2 17.00 OK
r-release-macos-x86_64 1.1.2 22.00 OK
r-release-windows-x86_64 1.1.2 3.00 41.00 44.00 OK
r-oldrel-macos-arm64 1.1.2 19.00 OK
r-oldrel-windows-x86_64 1.1.2 4.00 46.00 50.00 OK

Check Details

Version: 1.1.2
Check: Rd files
Result: 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. | ^ 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-prerel-macos-arm64, r-prerel-windows-x86_64, r-patched-linux-x86_64