wc
lassosum.pipeline()
when calling some functions in data.table
validate.lassosum.pipeline()
and pseudovalidate.lassosum.pipeline()
validate.function
in validate.lassosum.pipeline()
to be given as a character rather than a function. best.beta
is output in validate.lassosum.pipeline()
and pseudovalidate.lassosum.pipeline()
matchpos()
pgs()
function, (and therefore validate.lassosum.pipeline()
and pseudovalidate.lassosum.pipeline()
)bfile
is too large (due to integer overflow in c++)openPlinkBinaryFile()
)validate.lassosum.pipeline()
and pseudovalidate.lassosum.pipeline()
lassosum.pipeline()
in parsing LDblocks when given as a vector of factorspgs()
when extract
is specified cp.meta()
for meta-analysing external summary statistics with results from cp.plink.linear()
cp.plink.linear()
will weight correlation by sample size when averaging across foldscp
functionswrite.table2()
validate.lassosum.pipeline()
, pseudovalidate.lassosum.pipeline()
, and pgs
as S3 methodsvalidate.lassosum.pipelin()
matchpos()
pgs()
with sparse matrix. Used as default. p2cor()
will automatically code to NA those correlations with relatively small n.data.table::fread()
for reading filesmatchpos()
pgs()
stops if keep or extract not in the same order as in .bim/.fam filecovar
and pheno
to take data.frame
s or files as input. test.bfile
if keep
or remove
is used in validate.lassosum.pipeline()
or pseudovalidate.lassosum.pipeline()
splitvalidate()
for split-validation. subset.lassosum.pipeline()
for applying validated PGS to new data. pheno
to be constant or NA if only one PGS is calculated in validate.lassosum.pipeline()
. plot.validate.lassosum()
will abandon if there are no finite values. validate.lassosum.pipeline()
test.bfile
in validate.lassosum.pipeline()
validate.lassosum.pipeline
pheno
and covar
option didn't use to like data.table
and required data.frame
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