*R code for applications in engineering and physics*

Fitting a degradation model in R using nlme

R code for estimating the position of a moving object using the Kalman filter

Implementing the extended Kalman filter in R

Implementing the unscented Kalman filter in R

R code for fitting a mixture distribution to censored data

Fitting a finite mixture model to survival data in R

Fitting an accelerated life test model in R

Modeling with left truncated and right/interval censored data in R

R code for constructing likelihood based confidence intervals for parametric survival models

Constructing likelihood based confidence intervals for MTTF in R

Constructing likelihood based confidence intervals for the Mean Residual Life in R

Constructing likelihood based confidence intervals for the Median Residual Life in R

Computing bootstrap confidence intervals for the hazard function of an AFT model in R

Computing likelihood based confidence intervals for the hazard function of an AFT model in R

Computing likelihood based confidence intervals for the regression coefficients of an AFT model in R

Constructing likelihood based confidence intervals in R when summing two random variables

R code for fitting a two-failure mode model

Constructing likelihood based confidence intervals for life time quantiles of a competing risks model in R

R code for a fatigue limit model

Fitting a finite mixture model to fatigue data in R

R code for fitting a nonhomogeneous temporal Poisson process model

R code for fitting a multitype nonhomogeneous Poisson process model to temporal data

Fitting a piecewise NHPP model in R

Using R for fitting the Crow-AMSAA model to grouped data

Fitting a loglinear-NHPP model to grouped temporal data in R

R code for fitting a three-parameter Weibull distribution

R code for fitting a three-parameter Fréchet distribution

R code for fitting a three-parameter lognormal distribution

R code for fitting a three-parameter lognormal model using the correct likelihood

Constructing bootstrap confidence intervals for stress-strength models in R

Constructing likelihood based confidence intervals for stress-strength models in R

Computing variable importance for a survival model in R

Martingale residuals for a parametric survival model in R

Using R for doing extreme value analysis in the field of engineering

Error propagation in R: Addition in quadrature and the delta method

Error propagation in R: Addition in quadrature versus the bootstrap method

Error propagation in R: Monte Carlo simulations using copulas

Using linear programming in R for solving the ladder against a wall problem

Using nonlinear programming in R for solving mechanical engineering problems

R code for computing variable importance of input variables in a neural network

Computing likelihood based confidence intervals for predicted probabilities of a logistic regression model

* Some other blog posts on data analysis (in Dutch) *Text mining: een vergelijking tussen mens en computer

Wie en wanneer?: Survival analysis brengt klantgedrag in kaart

Meer=minder?: Over productkeuze, aanbod en aanbevelingssystemen