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jeksterslab
cTMed:Continuous Time Mediation
Calculates standard errors and confidence intervals for effects in continuous-time mediation models. This package extends the work of Deboeck and Preacher (2015) <doi:10.1080/10705511.2014.973960> and Ryan and Hamaker (2021) <doi:10.1007/s11336-021-09767-0> by providing methods to generate standard errors and confidence intervals for the total, direct, and indirect effects in these models.
Maintained by Ivan Jacob Agaloos Pesigan. Last updated 20 days ago.
centralitycontinuous-timedelta-methodmediationmonte-carlo-methodnetworkopenblascppopenmp
84.4 match 4.56 score 24 scriptsjeksterslab
betaDelta:Confidence Intervals for Standardized Regression Coefficients
Generates confidence intervals for standardized regression coefficients using delta method standard errors for models fitted by lm() as described in Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller (2015) <doi:10.1007/s11336-013-9380-y>. The package can also be used to generate confidence intervals for differences of standardized regression coefficients and as a general approach to performing the delta method. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.
Maintained by Ivan Jacob Agaloos Pesigan. Last updated 2 months ago.
confidence-intervalsdelta-method-standard-errorsstandardized-regression-coefficients
36.2 match 4.20 score 20 scripts
stopsack
risks:Estimate Risk Ratios and Risk Differences using Regression
Risk ratios and risk differences are estimated using regression models that allow for binary, categorical, and continuous exposures and confounders. Implemented are marginal standardization after fitting logistic models (g-computation) with delta-method and bootstrap standard errors, Miettinen's case-duplication approach (Schouten et al. 1993, <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting values from Poisson models (Spiegelman and Hertzmark 2005, <doi:10.1093/aje/kwi188>), and others.
Maintained by Konrad Stopsack. Last updated 11 months ago.
binomialbiostatisticsepidemiologyregression-models
8.1 match 5 stars 4.95 score 12 scripts
olehjktu
nlWaldTest:Wald Test of Nonlinear Restrictions and Nonlinear CI
Wald Test for nonlinear restrictions on model parameters and confidence intervals for nonlinear functions of parameters using delta-method. Applicable after ANY model, provided parameters estimates and their covariance matrix are available.
Maintained by Oleh Komashko. Last updated 9 years ago.
1.0 match 2 stars 1.90 score 40 scripts