Package: simest 0.4

simest: Constrained Single Index Model Estimation

Estimation of function and index vector in single index model with and without shape constraints including different smoothness conditions.

Authors:Arun Kumar Kuchibhotla <[email protected]>, Rohit Kumar Patra <[email protected]>

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simest.pdf |simest.html✨
simest/json (API)

# Install 'simest' in R:
install.packages('simest', repos = c('https://arun-kuchibhotla.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 9 scripts 187 downloads 1 mentions 36 exports 9 dependencies

Last updated 8 years agofrom:77d4908ed9. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:cpencvx.lip.regcvx.lip.reg.defaultcvx.lse.con.regcvx.lse.con.reg.defaultcvx.lse.regcvx.lse.reg.defaultcvx.pen.regcvx.pen.reg.defaultderivcvxpecfastmergepentaplot.cvx.lip.regplot.cvx.lse.regplot.cvx.pen.regplot.sim.estplot.smooth.pen.regpredcvxpenpredict.cvx.lip.regpredict.cvx.lse.regpredict.cvx.pen.regpredict.sim.estpredict.smooth.pen.regprint.cvx.lip.regprint.cvx.lse.regprint.cvx.pen.regprint.sim.estprint.smooth.pen.regsim.estsim.est.defaultsimestgcvsimestgcv.defaultsmooth.pen.regsmooth.pen.reg.defaultsolve.pentadiagspen_egcv

Dependencies:cobslatticeMASSMatrixMatrixModelsnnlsquantregSparseMsurvival

Readme and manuals

Help Manual

Help pageTopics
C code for convex penalized least squares regression.cpen
Convex Least Squares Regression with Lipschitz Constraintcvx.lip.reg cvx.lip.reg.default plot.cvx.lip.reg predict.cvx.lip.reg print.cvx.lip.reg
Convex Least Squares Regression.cvx.lse.con.reg cvx.lse.con.reg.default
Convex Least Squares Regression.cvx.lse.reg cvx.lse.reg.default plot.cvx.lse.reg predict.cvx.lse.reg print.cvx.lse.reg
Penalized Smooth Convex Regression.cvx.pen.reg cvx.pen.reg.default plot.cvx.pen.reg predict.cvx.pen.reg print.cvx.pen.reg
C code for prediction using cvx.lse.reg, cvx.lip.reg and cvx.lse.con.reg.derivcvxpec
Pre-binning of Data Points.fastmerge
C code for solving pentadiagonal linear equations.penta
C code for prediction using cvx.lse.reg, cvx.lip.reg and cvx.lse.con.reg for function and its derivatives.predcvxpen
Single Index Model Estimation: Objective Function Approach.plot.sim.est predict.sim.est print.sim.est sim.est sim.est.default
Single Index Model Estimation: Objective Function Approach.simestgcv simestgcv.default
Penalized Smooth/Smoothing Spline Regression.plot.smooth.pen.reg predict.smooth.pen.reg print.smooth.pen.reg smooth.pen.reg smooth.pen.reg.default
Pentadiagonal Linear Solver.solve.pentadiag
C code for smoothing splines with randomized GCV computation.spen_egcv