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