Man pages for MaciejDanko/gotm
Health reporting styles

AIC.gotmExtracts Akaike Information Criterion from the fitted model
anova.gotmLRT Tables
basiccutpointsCalcualte threshold cut-points using Jurges' method
calcYYYINTERNAL: Calculate special matrices for gradient...
classify.indINTERNAL: Clasify individuals according to the reg.params and...
coef.gotmExtracting coefficients of fitted 'gotm' object
col_pathINTERNAL: Column path in a matrix
comparehealthlevelsPlot a comparison of original and adjusted health levels
cumsum_rowINTERNAL: Do cumsum() in each row of a matrix
data2freqConvert individual data to frequency table of unique...
disabilityweightsCalculate disability weights
DummyMat2VectorINTERNAL: Converts a matrix with dummies in columns into...
fit.vglmINTERNAL: Fit vglm to get parameters of the model
getcutpointsCalcualte threshold cut-points using Jurges' method
gethealthindexquantilesGet health index quantiles with respect to specified vaiables
gethealthlevelsCalcualte adjusted health levels.
gethealthlevels_bootBootstraping health levels
get.start.gotmGet starting parameters from less or more complicated...
get.vglm.startINTERNAL: Translate vglm to gotm start parameters
gotmFit Generelaized Ordered Choice Threshold Model
gotm_c_linkINTERNAL: Decode link parmeter
gotm.controlAuxiliary for controlling 'gotm' fitting
gotm_derivLLINTERNAL: The gradient of the log likelihood function
gotm.designAuxiliary for setting a simple survey design for 'gotm'
gotm_ExtractParametersINTERNAL: Extract model parameters in a form of list
gotm_fitterINTERNAL: Fit 'gotm'
gotm_LatentINTERNAL: Calculate latent variable
gotm_latentrangeINTERNAL: Calculate maximum possible latent range
gotm_negLLINTERNAL: The log likelihood function
gotm_ThresholdINTERNAL: Calculation of cut-points (threshold)
grapes-c-grapesCheck if one set is a subset of an another subset
grapes-notc-grapesNot %notc% function
grapes-notin-grapesNot %in% function
healthindexCalculate health index
healthsurveyArtificially generated health survey data
logLik.gotmExtracts log likelihood of the fitted model
lrt.gotmLikelihood ratio test for a pair of models
predict.gotmModel predictions
print.anova.gotmPrint object calcuated by 'anova.gotm'
print.gotmPrinting basic information about fitted gotm
print.lrt.gotmPrint object calculated by 'lrt.gotm'
print.summary.gotmPrint object calculated by 'summary.gotm'
print.vcov.gotmPrint object calculated by 'vcov.gotm'
rep_rowREMINDER: PUT HERE c++ FUNCTION
summary.gotmCalculate model summary
update.latentINTERNAL: Update model according to new parameters
vcov.gotmExtracting variance-covariance matrix from the fitted gotm
Vector2DummyMatINTERNAL: Converts a vector of an categorical variable into a...
MaciejDanko/gotm documentation built on Dec. 7, 2018, 6:57 a.m.