lazy.stat {lazy.stat} | R Documentation |
This package provides the following categories of functions:
bs: Generate B Spline Basis
find_best_sp: Find the Best Subset of Spline Regression
This uses "regsubsets" function of "leaps" package.
predict_sp: Predicting from Spline Regression
ps: Generate Piecewise Spline Basis
spline_expand: Generate Spline Basis
spreg: Spline Regression Analysis: Regress y on spline expanded
univariate regressor variable x
Monotone Spline is available here.
data0019rt Proportion of those who are under 19 years old.
data2029rt Proportion of those who are in their 20s..
data3039rt Proportion of those who are in their 30s.
data4049rt Proportion of those who are in their 40s.
data5059rt Proportion of those who are in their 50s.
data6099rt Proportion of those who are over 60 years old.
nnreg: Non-negative or Ordered Regression
mlsreg: (Weighted) Monotone Least Squares Regression of y on x
mbinreg: Monotone Binary Regression of (f, n) on x
dst, pst,: Univariate t distribution with location and scale parameters.
lcDmc, dlcDmc, plcDmc, qlcDmc: Distribution of the linear combination of a Dirichlet variable
rbin: Binomial Random Numbers
rchi2: Chi Squared Random Numbers
rdirichlet: Dirichlet Random Numbers
rinvchi: Inverted Chi Random Numbers
rinvchi2: Inverted Chi Squared Random Numbers
rmvnorm: Multivariate Normal Random Numbers
rst: t Random Numbers
rlcDmc: Linear Combination of Dirichlet Component Random Numbers
inv_func: Inverse function
cdf2pf: Calculates normalized pdf from cdf (Beta Version)
pf2pf: Calculates normalized pdf from pdf (Beta Version)