Description: Parametric proportional hazards fitting with left truncation and
right censoring for common families of distributions, piecewise constant
hazards, and discrete models. Parametric accelerated failure time models
for left truncated and right censored data. Proportional hazards
models for tabular and register data. Sampling of risk sets in Cox
Authors@R: c(person("Göran", "Broström", role = c("aut", "cre"),
person("Jianming", "Jin", role = "ctb"))
Imports: stats, graphics, survival (>= 3.0)

Depends: R (>= 3.0.0), survival (>= 2.37-6), stats, graphics

Description: Sampling of risk sets in Cox regression, selections in
the Lexis diagram, bootstrapping. Parametric proportional
hazards fitting with left truncation and right censoring for
common families of distributions, piecewise constant hazards,
and discrete models. AFT regression for left truncated and
right censored data. Binary and Poisson regression for
clustered data, fixed and random effects with bootstrapping.

and discrete models. Parametric accelerated failure time models
for left truncated and right censored data.

Title: Calculates Goodness of Fit Statistics
Authors@R: c(person("Alper", "Gulbe", email="alper.gulbe@igdir.edu.tr", role="cre"),
Description: Calculates 15 different goodness of fit criteria. These are; standard deviation ratio (SDR), coefficient of variation (CV), relative root mean square error (RRMSE), Pearson's correlation coefficients (PC), root mean square error (RMSE), performance index (PI), mean error (ME), global relative approximation error (RAE), mean relative approximation error (MRAE), mean absolute percentage error (MAPE), mean absolute deviation (MAD), coefficient of determination (R-squared), adjusted coefficient of determination (adjusted R-squared), Akaike's information criterion (AIC), and corrected Akaike's information criterion (CAIC).

Description: Calculates 15 different goodness of fit criteria. These are; standard deviation ratio (SDR), coefficient of variation (CV), relative root mean square error (RRMSE), Pearson's correlation coefficients (PC), root mean square error (RMSE), performance index (PI), mean error (ME), global relative approximation error (RAE), mean relative approximation error (MRAE), mean absolute percentage error (MAPE), mean absolute deviation (MAD), coefficient of determination (R-squared), adjusted coefficient of determination (adjusted R-squared), Akaike's information criterion (AIC), corrected Akaike's information criterion (CAIC), Mean Square Error (MSE), Bayesian Information Criterion (BIC) and Normalized Mean Square Error (NMSE).