- using R version 4.4.2 Patched (2024-12-13 r87451)
- 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 ‘asht/DESCRIPTION’ ... OK
- checking extension type ... Package
- this is package ‘asht’ version ‘1.0.1’
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
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- checking for hidden files and directories ... OK
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- checking whether package ‘asht’ 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
- checking for left-over files ... OK
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- 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 ... [3s/4s] OK
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- checking R code for possible problems ... [22s/27s] OK
- checking Rd files ... [1s/1s] NOTE
checkRd: (-1) signTest.Rd:29: Lost braces
29 | code{stat="ud"} gives 0, and \code{stat="cpp"} gives 0.5).
| ^
checkRd: (-1) simulateSS.Rd:46: Lost braces; missing escapes or markup?
46 | and the total number of batches, $b_{tot}$.
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checkRd: (-1) simulateSS.Rd:48: Lost braces; missing escapes or markup?
48 | Then we use a normal approximation to estimate the target sample size, say $N_{norm}$. In step 2, we replicate $m$ data sets with sample size $N_2 = N_{norm}$
| ^
checkRd: (-1) simulateSS.Rd:48: Lost braces; missing escapes or markup?
48 | Then we use a normal approximation to estimate the target sample size, say $N_{norm}$. In step 2, we replicate $m$ data sets with sample size $N_2 = N_{norm}$
| ^
checkRd: (-1) simulateSS.Rd:49: Lost braces; missing escapes or markup?
49 | to get the associated proportion of rejections, say $P_2$. We repeat 2 more batches with $N_3=N_{norm}/2$ and $N_4=2 N_{norm}$,
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checkRd: (-1) simulateSS.Rd:49: Lost braces; missing escapes or markup?
49 | to get the associated proportion of rejections, say $P_2$. We repeat 2 more batches with $N_3=N_{norm}/2$ and $N_4=2 N_{norm}$,
| ^
checkRd: (-1) simulateSS.Rd:51: Lost braces; missing escapes or markup?
51 | the sample size at the target power, $N_{target}$. We use that estimate of $N_{target}$ for our sample size for the next
| ^
checkRd: (-1) simulateSS.Rd:51: Lost braces; missing escapes or markup?
51 | the sample size at the target power, $N_{target}$. We use that estimate of $N_{target}$ for our sample size for the next
| ^
checkRd: (-1) simulateSS.Rd:53: Lost braces; missing escapes or markup?
53 | Wu (1985, see Section 3). Step 4 is iterative, for the $i$th batch we repeat the isotonic regression, except now with $N_i$ estimated from the first $(i-1)$ observation pairs. We repeat step 4 until either the number of batches is $b_{tot}$,
| ^
checkRd: (-1) simulateSS.Rd:56: Lost braces; missing escapes or markup?
56 | current sample size estimate, otherwise add 1. Continue with that up-and-down-like method until we reach the number of batches equal to $b_{tot}$. The up-and-down-like method was added because sometimes the algorithm would get stuck in too large of a sample size estimate.
| ^
- checking Rd metadata ... OK
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- checking data for non-ASCII characters ... [0s/0s] OK
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- checking examples ... [8s/9s] OK
- checking PDF version of manual ... [5s/7s] OK
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- checking for non-standard things in the check directory ... OK
- DONE
Status: 1 NOTE