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aceimpute

Actively correcting for error in imputation (ACE Imputation)

armis

Three strategies to analyze the repeated measures of amino acids in Steers

d2wlasso

hdchangepoint

R package that estimates individual longitudinal trajectories and their inflection points using two estimating procedures: the parametric nonlinear mixed effects model (NLME) and the multi-stage nonparametric approaches.

imputing-censored-covariates

Statistical methods to impute censored covariates

jprat

The Joint Progression of Risk Assessment Tool (JPRAT) evaluates and compares all outcomes simultaneously across multiple studies and adjusts for outcome dependencies. The JPRAT is an estimation procedure that handles multiple data hierarchy using an additive logistic mixed effect model.

mgcov

rgllvm

R package to estimate parameters in a generalized linear latent variable model where the latent variable is a random intercept or random slope, and the distribution of the latent variable is left unknown.

sgslasso

Sparse group-subgroup lasso for identification of important regressor groups, subgroups and individual variables

stride

Nonparametric prediction of survival outcomes when survival data are collected from multiple populations of interest, but we do not know from which population each observation came. STRIDE stands for robu(ST) powe(R)ful m(I)xture mo(DE)ls.

svreg