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ConSpline

Partial Linear Least-Squares Regression using Constrained Splines

v1.2 · Oct 2, 2017 · GPL-2 | GPL-3

Description

Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline. Function outputs fits and various types of inference.

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CRAN incoming feasibility

Maintainer: ‘Mary C Meyer <meyer@stat.colostate.edu>’

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  Authors@R: person(given = c("Mary", "C"),
                    family = "Meyer",
                    role = c("aut", "cre"),
                    email = "meyer@stat.colostate.edu")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Mary C Meyer <meyer@stat.colostate.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Mary", "C"),
                    family = "Meyer",
                    role = c("aut", "cre"),
                    email = "meyer@stat.colostate.edu")
as necessary.
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Mary C Meyer <meyer@stat.colostate.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Mary", "C"),
                    family = "Meyer",
                    role = c("aut", "cre"),
                    email = "meyer@stat.colostate.edu")
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Mary C Meyer <meyer@stat.colostate.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Mary", "C"),
                    family = "Meyer",
                    role = c("aut", "cre"),
                    email = "meyer@stat.colostate.edu")
as necessary.

Dependency Network

Dependencies Reverse dependencies coneproj ConSpline

Version History

new 1.2 Mar 9, 2026