#rstatistics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rstatistics, aggregated by home.social.
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Functions for model selection Use regsubsets (leaps) With (In) R Software
https://dik.si/regsubsets
Forward Model Selection using AIC or BIC Use aic_model_selection With STATA 19
https://ln.run/aic_model_selection
#rstudio #rstats #rsoftware #rstatistics -
Calculating R-squared measures for multilevel models Use r2mlm With (In) R Software
https://dik.si/r2mlm
Compute r-squared measures for models estimated by mixed Use r2_mlm With STATA 19
https://ln.run/r2_mlm
#rstudio #rstats #rsoftware #rstatistics -
The contaminated negative binomial regression model Use ml.cnb With (In) R Software
https://dik.si/mlcnb
Estimation of regression order statistics Use ros With STATA 19
https://ln.run/_ros
#rstudio #rstats #rsoftware #rstatistics -
Fitting Count Regression Models with Latent Covariates Use countreg (lavacreg) With (In) R Software
https://ln.run/countreg
Perform trimming or Winsorising on a series or group With Eviews 13
https://ristek.link/Winsor
#rstudio #rstats #rsoftware #rstatistics -
Estimating risk ratios and risk differences using regression Use riskratio and riskdiff With (In) R Software
https://ln.run/risks
Population attributable risks from binary regression models Use regpar With STATA 19
https://ristek.link/regpar
#rstudio #rstats #rsoftware #rstatistics -
Difference-in-Differences with a Continuous Treatment Use cont_did (contdid) With (In) R Software
https://dik.si/cont_did
Calculate standardized differences between groups for continuous and categorical variables Use stddiff With STATA 19
https://ln.run/stddiff
#rstudio #rstats #rsoftware #rstatistics -
Came across this useful R website for visualizing different color palettes, without having to load them directly into R! Lots of options for choosing how many colors you want, how they look for someone who is colorblind, etc.
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Came across this useful R website for visualizing different color palettes, without having to load them directly into R! Lots of options for choosing how many colors you want, how they look for someone who is colorblind, etc.
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Estimate Multinomial Logit Models with Observed and Unobserved Individual Heterogeneity Use gmnl With (In) R Software
https://dik.si/ggmnl
Instrumental variables estimation using heteroskedasticity-based instruments Use ivreg2h With STATA 19
https://ln.run/ivreg2h
#rstudio #rstats #rsoftware #rstatistics -
General Linear Hypotheses Use glht (multcomp) With (In) R Software
https://dik.si/_glht
Tukey-Kramer pairwise comparisons Use tkcomp With STATA 19
https://ln.run/tkcomp
#rstudio #rstats #rsoftware #rstatistics -
Marginal Effects Estimation for Model Objects Use margins With (In) R Software
https://ln.run/margins
Pairwise multiple comparisons of means with unequal variances Use pwmc With STATA 19
https://ristek.link/pwmc
#rstudio #rstats #rsoftware #rstatistics -
Multiple Correspondence Analysis (MCA) Use MCA (FactoMineR) With (In) R Software
https://ln.run/_MCA
Simple Correspondence Analysis Use coranal With STATA 19
https://ristek.link/coranal
#rstudio #rstats #rsoftware #rstatistics -
Analysis of the Elements of Metacommunity Structure Use Metacommunity (metacom) With (In) R Software
https://dik.si/Metacommunity
Cumulative meta-analysis, with graphics Use metacum With STATA 19
https://ln.run/metacum
#rstudio #rstats #rsoftware #rstatistics -
Robust estimation for meta-analysis with influential outlying studies Use rmeta (robustmeta) With (In) R Software
https://ln.run/rmeta
Implement robust error meta-regression method for dose–response meta-analysis Use remr With STATA 19
https://ristek.link/remr
#rstudio #rstats #rsoftware #rstatistics -
Perform a univariate meta-analysis Use uvmeta (metamisc) With (In) R Software
https://dik.si/uvmeta
Calibration plots and tests for Cox proportional hazards model Use stcoxcal With STATA 19
https://ln.run/stcoxcal
#rstudio #rstats #rsoftware #rstatistics -
Fixed effects maximum likelihood models Use femlm (FENmlm) With (In) R Software
https://ln.run/femlm
Perform meta-analysis of aggregate (summary) data Use admetan With STATA 19
https://ristek.link/admetan
#rstudio #rstats #rsoftware #rstatistics -
Comparing Two-Sample (Mean Cumulative Function) MCFs (Two-Sample Pseudo-Score Tests) Use mcfDiff (reda) With (In) R Software
https://ln.run/mcfDiff
Eventbaseline Correct event study after xthdidregress Use eventbaseline With STATA 19
https://ristek.link/eventbaseline
#rstudio #rstats #rsoftware #rstatistics -
PE Test for Linear vs. Log-Linear Specifications Use petest (lmtest) With (In) R Software
https://dik.si/petest
Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation Use alsmle With STATA 19
https://ln.run/alsmle
#rstudio #rstats #rsoftware #rstatistics -
Aalen's additive regression model for censored data Use aareg (survival) With (In) R Software
https://ln.run/aareg
Aalen's linear hazards model analysis Use stlh With STATA 19
https://ristek.link/stlh
#rstudio #rstats #rsoftware #rstatistics -
Competings Risks Regression Model Use comp.risk (timereg) With (In) R Software
https://dik.si/timereg
Flexible parametric competing-risks regression models Use stpm2cr With STATA 19
https://ln.run/stpm2cr
#rstudio #rstats #rsoftware #rstatistics -
Cost-Effectiveness Analysis for Clinical Trials Use cea and boot_icer (CEACT) With (In) R Software
https://dik.si/CEACT
Multiple hypothesis testing controlling And correction for FWER Use mhtreg With STATA 19
https://ln.run/mhtreg
#rstudio #rstats #rsoftware #rstatistics -
Free disposal hull (FDH) model Use model_fdh (deaR) With (In) R Software
https://ln.run/model_fdh
Introduction to cost-effectiveness analysis Use cea With STATA 19
https://ristek.link/cea
#rstudio #rstats #rsoftware #rstatistics -
Meta-analysis of single proportions Use metaprop (meta) With (In) R Software
https://dik.si/metaprop
Fixed and random effects meta-analysis of proportions Use metaprop With STATA 19
https://ln.run/metaprop
#rstudio #rstats #rsoftware #rstatistics -
Principal Component Regression Model Use pcr (analogue) With (In) R Software
https://ln.run/_pcr
Perform fixed and random effects meta-analysis of proportions Use metaprop_one With STATA 19
https://ristek.link/metaprop_one
#rstudio #rstats #rsoftware #rstatistics -
Analytic Hierarchy Process (AHP) for Survey Data Use ahp (ahpsurvey) With (In) R Software
https://dik.si/ahpsurvey
Calculation comprehensive scores based on the entropy method or the entropy-TOPSIS method Use topsis With STATA 19
https://ln.run/topsis
#rstudio #rstats #rsoftware #rstatistics -
Zivot and Andrews Unit Root Test Use ur.za (urca) With (In) R Software
https://dik.si/ur_za
Zivot-Andrews unit root test in presence of structural break Use zandrews With STATA 19
https://ln.run/zandrews
#rstudio #rstats #rsoftware #rstatistics -
Dynamic panel model with fixed effects Use DPML (DPTM) With (In) R Software
https://ln.run/DPML
Westerlund error-correction-based (ECM) panel cointegration tests Use xtwest With STATA 19
https://ristek.link/xtwest
#rstudio #rstats #rsoftware #rstatistics -
Finite Mixtures of Beta Regression for Rates and Proportions Use betamix (betareg) With (In) R Software
https://dik.si/betamix
Mixture beta regression model Use betamix With STATA 19
https://ln.run/betamix
#rstudio #rstats #rsoftware #rstatistics -
Overdispersion Test - Cameron & Trivedi (1990) in Count Data Multiple Regression Analysis Use overdisp With (In) R Software
https://ln.run/_overdisp
Fitting (fit) a two-parameter beta distribution by maximum likelihood Use betafit With STATA 19
https://ristek.link/betafit
#rstudio #rstats #rsoftware #rstatistics -
Get marginal effects from model terms Use ggeffect (ggeffects) With (In) R Software
https://dik.si/ggeffect
A direct command to detect overdispersion in count-data models Use overdisp With STATA 19
https://ln.run/overdisp
#rstudio #rstats #rsoftware #rstatistics -
Baseline-Category Logit Models for Categorical and Multinomial Responses Use mblogit (mclogit) With (In) R Software
https://ln.run/mblogit
Stata macros for multinomial conditional logit models Use mclest With STATA 19
https://ristek.link/mclest
#rstudio #rstats #rsoftware #rstatistics -
**geometa** provides an essential object-oriented data model in R, enabling users to efficiently manage geographic metadata.
The package facilitates handling of ISO and OGC standard geographic metadata and their dissemination on the web.
In this interview, we speak with **Emmanuel Blondel**, the author of geometa, ows4R, geosapi, geonapi and geoflow—key R packages for geospatial data management.
https://r-consortium.org/posts/exploring-geometa-an-r-package-for-managing-geographic-metadata/
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New year, new website! Happy to share my new website with you, entirely done in R using Hugo which is FOSS.
Very pleased with the final result but will likely make further improvements in the future.
Check it out here: https://www.halleypontes.com