Package: smicd 1.1.5
smicd: Statistical Methods for Interval-Censored Data
Functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).
Authors:
smicd_1.1.5.tar.gz
smicd_1.1.5.zip(r-4.5)smicd_1.1.5.zip(r-4.4)smicd_1.1.5.zip(r-4.3)
smicd_1.1.5.tgz(r-4.5-any)smicd_1.1.5.tgz(r-4.4-any)smicd_1.1.5.tgz(r-4.3-any)
smicd_1.1.5.tar.gz(r-4.5-noble)smicd_1.1.5.tar.gz(r-4.4-noble)
smicd_1.1.5.tgz(r-4.4-emscripten)smicd_1.1.5.tgz(r-4.3-emscripten)
smicd.pdf |smicd.html✨
smicd/json (API)
NEWS
| # Install 'smicd' in R: |
| install.packages('smicd', repos = c('https://chiquadrat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chiquadrat/smicd/issues
- Exam - Exam scores from inner London
Last updated 10 months agofrom:d17df1683d. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 05 2025 |
| R-4.5-win | OK | Mar 05 2025 |
| R-4.5-mac | OK | Mar 05 2025 |
| R-4.5-linux | OK | Mar 05 2025 |
| R-4.4-win | OK | Mar 05 2025 |
| R-4.4-mac | OK | Mar 05 2025 |
| R-4.4-linux | OK | Mar 05 2025 |
| R-4.3-win | OK | Mar 05 2025 |
| R-4.3-mac | OK | Mar 05 2025 |
Dependencies:backportsbase64encbitbit64bootbroombslibcachemcheckmateclicliprclustercodetoolscolorspacecpp11crayondata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforcatsforeachforeignFormulaformula.toolsfsgdatagenericsggplot2glmnetgluegridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsineqisobanditeratorsjomojquerylibjsonliteknitrlabelinglaekenlatticelifecyclelme4magrittrMASSMatrixmemoisemgcvmicemimeminqamitmlmunsellmvtnormnlmenloptrnnetnumDerivoperator.toolsordinalpanpillarpkgconfigprettyunitsprogresspurrrR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasrlangrmarkdownrpartrstudioapisassscalesshapestringistringrsurvivaltibbletidyrtidyselecttinytextruncnormtzdbucminfutf8vctrsviridisviridisLitevroomweightswithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exam scores from inner London | Exam |
| Estimation of Statistical Indicators from Interval-Censored Data | kdeAlgo |
| Fitted kdeAlgoObject | kdeAlgoObject |
| Plot Diagnostics for a kdeAlgo Object | plot.kdeAlgo |
| Plot Diagnostics for sem Objects | plot.sem |
| Prints a kdeAlgo Object | print.kdeAlgo |
| Prints a sem Object | print.sem |
| Prints a summary.sem Object | print.summary.sem |
| Linear Regression with Interval-Censored Dependent Variable | semLm |
| Linear Mixed Regression with Interval-Censored Dependent Variable | semLme |
| Fitted semObject | semObject |
| Statistical Methods for Interval Censored (Grouped) Data | smicd |
| Summarizing Linear and Linear Mixed Models estimated with the SEM | summary.sem |
