forsearch-package {forsearch} | R Documentation |
Diagnostic Analysis Using Forward Search Procedure for Various Models Diagnostic Analysis Using Forward Search Procedure for Various Models
Description
Identifies potential data outliers and their impact on estimates and analyses. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by stats::lm(), stats::glm(), stats::nls(), nlme::lme() or survival::coxph(). Includes graphics functions to display the descriptive statistics.
Details
The DESCRIPTION file:
Package: | forsearch |
Title: | Diagnostic Analysis Using Forward Search Procedure for Various Models |
Version: | 6.2.0 |
Authors@R: | person("William","Fairweather", email = "wrf343@flowervalleyconsulting.com", role = c("aut", "cre")) |
Description: | Identifies potential data outliers and their impact on estimates and analyses. Uses the forward search approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis", 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset that is to be analyzed by stats::lm(), stats::glm(), stats::nls(), nlme::lme() or survival::coxph(). Includes graphics functions to display the descriptive statistics. |
Depends: | R (>= 4.2) |
License: | GPL (>= 3) |
LazyData: | true |
SystemRequirements: | gmp (>= 4.1) |
Encoding: | UTF-8 |
Roxygen: | list(markdown = TRUE) |
RoxygenNote: | 7.2.3 |
Imports: | Hmisc(>= 4.7-0), Cairo(>= 1.6-0), formula.tools(>= 1.7.0), ggplot2(>= 3.4.0), nlme(>= 3.1-157), survival(>= 3.4), tibble(>= 3.1.8) |
Suggests: | rmarkdown, knitr |
VignetteBuilder: | knitr |
Author: | William Fairweather [aut, cre] |
Maintainer: | William Fairweather <wrf343@flowervalleyconsulting.com> |
Index of help topics:
aStep1 Create Set of Observation Numbers in Step 1 for Linear Model Analysis aStep2 Update Observation Set in Step 2 bStep1 Create Set of Observation Numbers in Step 1 for Linear Mixed Effects Model Analysis bStep2 Update Observation Numbers in Step 2 cStep1 Create Set of Observation Numbers in Step 1 for Cox Proportional Hazards Model Analysis cStep2 Update Observation Set in Step 2 forsearch-package Diagnostic Analysis Using Forward Search Procedure for Various Models Diagnostic Analysis Using Forward Search Procedure for Various Models forsearch_cph Create Statistics Of Forward Search in a Cox Proportional Hazard Database forsearch_glm Create Statistics of Forward Search in a Generalized Linear Model Database forsearch_lm Create Statistics Of Forward Search in a Linear Model Database forsearch_lme Create Statistics Of Forward Search For a Linear Mixed Effects Database forsearch_nls Create Statistics Of Forward Search in a Nonlinear Model Database identifyCoeffs Index To Identify Fixed and Random Coefficients To Appear Together on Plot identifyFixedCoeffs Index To Identify Fixed Coefficients To Appear Together on Plot picksome Structured Sets of Random Samples of Observations plotdiag.AICX Plot Diagnostic AIC Statistics plotdiag.ANOX2 Plot Diagnostic Statistics of Analysis of Variance Tables plotdiag.Cook Plot Diagnostic Statistics of Modified Cook's Distance plotdiag.Wald Plot Diagnostic Statistics of Wald Test Output of COXPH Function plotdiag.allgraphs Execute All Plotting Functions For a Select Forsearch Object plotdiag.blind.fixed Plot Diagnostic Statistics of Fixed Coefficients for Blinded Dataset plotdiag.deviance.residuals Plot Diagnostic Statistics Of Deviance Residuals plotdiag.deviances Plot Diagnostic Deviance Statistics plotdiag.fit3 Plot Diagnostic Statistics of AIC, BIC, and Log Likelihood plotdiag.leverage Plot Diagnostic Statistics Of Leverage plotdiag.loglik Plot Diagnostic Statistics of LOGLIK Output of COXPH Function plotdiag.lrt Plot Diagnostic Statistics of Likelihood Ratio Test of COXPH Function plotdiag.params.fixed Plot Diagnostic Statistics of Fixed Coefficients plotdiag.params.random Plot Diagnostic Statistics Of Random Coefficients plotdiag.phihatx Plot Diagnostic PhiHat Statistics plotdiag.residuals Plot Diagnostic Statistics Of Residuals Or Squared Residuals plotdiag.s2 Plot Diagnostic Statistics Of Residual Variation plotdiag.tstats Plot Diagnostic T Statistics search.history Create Tabular History Of Forward Search showme Display Abbreviated Output of FORSEARCH_xxx Function variablelist Identify Level(s) to Which Each Factor Observation Belongs
Ensure that data frame has a leading column of observation numbers. Run forsearch_xxx to create a file of diagnostic statistics to be used as input to such plotting functions as plotdiag.residuals, plotdiag.params.fixed, plotdiag.params.random, plotdiag.s2, plotdiag,leverage, and plotdiag.Cook. The file of diagnostic statistics can be voluminous, and the utility function showme displays the output more succinctly. Plotting of statistics for fixed and for random coefficients is limited by graphical restraints in some cases. The function identifyCoeffs provides a set of indexing codes so that plotdiag.params.random can display diagnostics for selected fixed or random model parameters. The function identifyFixedCoeffs does the same for lm models.
Author(s)
William R. Fairweather, Flower Valley Consulting, Inc., Silver Spring MD USA NA
Maintainer: NA William R. Fairweather <wrf343 at flowervalleyconsulting.com>
References
Atkinson, A and M Riani. Robust Diagnostic Regression Analysis, Springer, New York, 2000. Pinheiro, JC and DM Bates. Mixed-Effects Models in S and S-Plus, Springer, New York, 2000.