monoreg.rowwise.Rd
Monotone (isotone) regression for rows (monoreg.rowwise
) or
columns (monoreg.colwise
) in a matrix.
monoreg.rowwise(yM, wM) monoreg.colwise(yM, wM)
yM | Matrix with dependent variable for the regression. Values are assumed to be sorted. |
---|---|
wM | Matrix with weights for every entry in the |
Matrix with fitted values
This function is used for fitting the ISOP model
(see isop.dich
).
See also the monoreg
function from the fdrtool
package.
y <- c(22.5, 23.33, 20.83, 24.25 ) w <- c( 3,3,3,2) # define matrix input yM <- matrix( 0, nrow=2, ncol=4 ) wM <- yM yM[1,] <- yM[2,] <- y wM[1,] <- w wM[2,] <- c(1,3,4, 3 ) # fit rowwise monotone regression monoreg.rowwise( yM, wM ) # compare results with monoreg function from fdrtool package if (FALSE) { miceadds::library_install("fdrtool") fdrtool::monoreg(x=yM[1,], w=wM[1,])$yf fdrtool::monoreg(x=yM[2,], w=wM[2,])$yf }