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r-lmreg
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Data files and a few functions used in the book 'Linear Models and Regression with R: An Integrated Approach' by Debasis Sengupta and Sreenivas Rao Jammalamadaka (2019).
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2025-04-22 |
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r-lmodel2
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Computes model II simple linear regression using ordinary least squares (OLS), major axis (MA), standard major axis (SMA), and ranged major axis (RMA).
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2025-04-22 |
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r-lmmot
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Fit right censored Multiple Ordinal Tobit (MOT) model.
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2025-04-22 |
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r-lmfilter
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We present a method based on filtering algorithms to estimate the parameters of linear regressions, i.e. the coefficients and the variance of the error term. The proposed algorithms make use of Particle Filters following Ristic, B., Arulampalam, S., Gordon, N. (2004, ISBN: 158053631X) resampling methods.
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2025-04-22 |
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r-lmf
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This R package provide methods for estimation and statistical inference on directional and fluctuating selection in age-structured populations.
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2025-04-22 |
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r-lmesplines
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Add smoothing spline modelling capability to nlme. Fit smoothing spline terms in Gaussian linear and nonlinear mixed-effects models
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2025-04-22 |
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r-lmec
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This package includes a function to fit a linear mixed-effects model in the formulation described in Laird and Ware (1982) but allowing for censored normal responses. In this version, the with-in group errors are assumed independent and identically distributed.
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2025-04-22 |
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r-lm.beta
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Adds standardized regression coefficients to objects created by lm. Also extends the S3 methods print, summary and coef with additional boolean argument standardized.
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2025-04-22 |
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r-llogistic
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Density, distribution function, quantile function and random generation for the L-Logistic distribution with parameters m and phi. The parameter m is the median of the distribution.
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2025-04-22 |
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r-lllcrc
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Applies local log-linear capture-recapture models (LLLMs) for closed populations, as described in the doctoral thesis of Zachary Kurtz. The method is relevant when there are 3-5 capture occasions, with auxiliary covariates available for all capture occasions. As part of estimating the number of missing population units, the method estimates the "rate of missingness" as it varies over the covariate space. In addition, user-friendly functions are provided to recreate (approximately) the method of Zwane and van der Heijden (2004), which applied the VGAM package in a way that is closely related to LLLMs.
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2025-04-22 |
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r-liureg
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Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc. REFERENCES i. Akdeniz and Kaciranlar (1995) <doi:10.1080/03610929508831585> ii. Druilhet and Mom (2008) <doi:10.1016/j.jmva.2006.06.011> iii. Imdadullah, Aslam, and Saima (2017) iv. Liu (1993) <doi:10.1080/03610929308831027> v. Liu (2001) <doi:10.1016/j.jspi.2010.05.030>.
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2025-04-22 |
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r-listwithdefaults
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Provides a function that, as an alternative to base::list, allows default values to be inherited from another list.
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2025-04-22 |
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r-listviewer
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R lists, especially nested lists, can be very difficult to visualize or represent. Sometimes 'str()' is not enough, so this suite of htmlwidgets is designed to help see, understand, and maybe even modify your R lists. The function 'reactjson()' requires a package 'reactR' that can be installed from CRAN or <https://github.com/timelyportfolio/reactR>.
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2025-04-22 |
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r-listest
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Tests for independence between X and Y computed from a paired sample (x1,y1),...(xn,yn) of (X,Y), using one of the following statistics (a) the Longest Increasing Subsequence (Ln), (b) JLn, a Jackknife version of Ln or (c) JLMn, a Jackknife version of the longest monotonic subsequence. This family of tests can be applied under the assumption of continuity of X and Y.
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2025-04-22 |
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r-listenv
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List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.
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2025-04-22 |
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r-listarrays
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A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays.
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2025-04-22 |
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r-lisreltor
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This is an unofficial package aimed at automating the import of LISREL output in R. This package or its maintainer is not in any way affiliated with the creators of LISREL and SSI, Inc.
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2025-04-22 |
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r-lisp
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Though SRFI-1 scopes both list-processing and higher-order programming, we'll save some list-orthogonal functions for the `functional' package; this is freely a mixture of implementation and API.
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2025-04-22 |
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r-lisa
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Contains 128 palettes from Color Lisa. All palettes are based on masterpieces from the worlds greatest artists. For more information, see <http://colorlisa.com/>.
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2025-04-22 |
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r-linselect
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Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
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2025-04-22 |
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r-linreginteractive
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Interactive visualization of effects, response functions and marginal effects for different kinds of regression models. In this version linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Major features are the interactive approach and the handling of the effects of categorical covariates: if two or more factors are used as covariates every combination of the levels of each factor is treated separately. The automatic calculation of marginal effects and a number of possibilities to customize the graphical output are useful features as well.
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2025-04-22 |
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r-linprog
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This package can be used to solve Linear Programming / Linear Optimization problems by using the simplex algorithm.
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2025-04-22 |
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r-linpk
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Generate concentration-time profiles from linear pharmacokinetic (PK) systems, possibly with first-order absorption or zero-order infusion, possibly with one or more peripheral compartments, and possibly under steady-state conditions. Single or multiple doses may be specified. Secondary (derived) PK parameters (e.g. Cmax, Ctrough, AUC, Tmax, half-life, etc.) are computed.
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2025-04-22 |
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r-linlir
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This package implements the methodology of Likelihood-based Imprecise Regression (LIR) for the case of linear regression with interval data.
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2025-04-22 |
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r-linl
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A 'LaTeX' Letter class for 'rmarkdown', using the 'pandoc-letter' template adapted for use with 'markdown'.
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2025-04-22 |
