Showing 4 of total 4 results (show query)
jlaake
marked:Mark-Recapture Analysis for Survival and Abundance Estimation
Functions for fitting various models to capture-recapture data including mixed-effects Cormack-Jolly-Seber(CJS) and multistate models and the multi-variate state model structure for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. There are also Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty and a simulation capability for HMM models.
Maintained by Jeff Laake. Last updated 1 years ago.
1 stars 4.09 score 85 scripts 1 dependents
jkd2108
dfcrm:Dose-Finding by the Continual Reassessment Method
Provides functions to run the CRM and TITE-CRM in phase I trials and calibration tools for trial planning purposes.
Maintained by Jimmy Duong. Last updated 6 years ago.
1 stars 3.87 score 68 scripts 4 dependents
sebastiaanhoppner
crmReg:Cellwise Robust M-Regression and SPADIMO
Method for fitting a cellwise robust linear M-regression model (CRM, Filzmoser et al. (2020) <DOI:10.1016/j.csda.2020.106944>) that yields both a map of cellwise outliers consistent with the linear model, and a vector of regression coefficients that is robust against vertical outliers and leverage points. As a by-product, the method yields an imputed data set that contains estimates of what the values in cellwise outliers would need to amount to if they had fit the model. The package also provides diagnostic tools for analyzing casewise and cellwise outliers using sparse directions of maximal outlyingness (SPADIMO, Debruyne et al. (2019) <DOI:10.1007/s11222-018-9831-5>).
Maintained by Sebastiaan Hoppner. Last updated 5 years ago.
1.04 score 11 scripts
cran
iRegression:Regression Methods for Interval-Valued Variables
Contains some important regression methods for interval-valued variables. For each method, it is available the fitted values, residuals and some goodness-of-fit measures.
Maintained by Eufrasio de A. Lima Neto. Last updated 9 years ago.
1 stars 1.00 score