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spatstat
spatstat.univar:One-Dimensional Probability Distribution Support for the 'spatstat' Family
Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, kernel properties, quantiles and integration.
Maintained by Adrian Baddeley. Last updated 25 days ago.
3 stars 9.93 score 1 scripts 239 dependents
martinster
modi:Multivariate Outlier Detection and Imputation for Incomplete Survey Data
Algorithms for multivariate outlier detection when missing values occur. Algorithms are based on Mahalanobis distance or data depth. Imputation is based on the multivariate normal model or uses nearest neighbour donors. The algorithms take sample designs, in particular weighting, into account. The methods are described in Bill and Hulliger (2016) <doi:10.17713/ajs.v45i1.86>.
Maintained by Beat Hulliger. Last updated 2 years ago.
4 stars 6.02 score 88 scripts 1 dependents
yujunghwang
factormodel:Factor Model Estimation Using Proxy Variables
Functions to estimate a factor model using discrete and continuous proxy variables. The function 'dproxyme' estimates a factor model of discrete proxy variables using an EM algorithm (Dempster, Laird, Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>; Hu (2008) <doi:10.1016/j.jeconom.2007.12.001>; Hu(2017) <doi:10.1016/j.jeconom.2017.06.002> ). The function 'cproxyme' estimates a linear factor model (Cunha, Heckman, and Schennach (2010) <doi:10.3982/ECTA6551>).
Maintained by Yujung Hwang. Last updated 4 years ago.
4 stars 4.78 score 4 scripts 1 dependents
